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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PGAM1 is validated prognostic, high expression is unfavorable in Lung Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 1.8
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
8.6e-7
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
26%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
48%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
184.3
Number of samples
497
Samples
Sample
Description
TPM
TCGA-55-8205-01A
76 years, female, white, stage:Stage IIA, alive, 599 days
574.2
TCGA-78-7155-01A
68 years, male, white, stage:Stage IB, dead, 1171 days
545.9
TCGA-44-7661-01A
69 years, female, white, stage:Stage IB, dead, 557 days
515.6
TCGA-53-7624-01A
40 years, female, white, stage:Stage IV, dead, 1043 days
510.5
TCGA-50-6595-01A
74 years, female, white, stage:Stage IIIA, dead, 189 days
499.3
TCGA-50-6594-01A
79 years, female, black or african american, stage:Stage IIIA, dead, 370 days
491.4
TCGA-62-8398-01A
55 years, male, white, stage:Stage IIIA, dead, 444 days
467.1
TCGA-05-4415-01A
57 years, male, stage:Stage IIIB, dead, 91 days
457.0
TCGA-78-7542-01A
56 years, male, white, stage:Stage IB, dead, 321 days
450.2
TCGA-95-8494-01A
67 years, male, white, stage:Stage IIA, alive, 84 days
450.2
TCGA-44-2668-01A
51 years, male, white, stage:Stage IB, dead, 761 days
437.1
TCGA-35-4123-01A
38 years, male, white, stage:Stage IA, alive, 182 days
435.8
TCGA-91-6836-01A
52 years, female, white, stage:Stage IB, alive, 417 days
435.5
TCGA-78-7146-01A
71 years, female, white, stage:Stage IIIA, dead, 173 days
434.3
TCGA-55-8302-01A
54 years, male, white, stage:Stage IB, alive, 478 days
432.1
TCGA-55-1596-01A
55 years, male, asian, stage:Stage IIB, alive, 2065 days
422.8
TCGA-64-5775-01A
71 years, male, white, stage:Stage IIIA, dead, 62 days
418.6
TCGA-55-6978-01A
81 years, male, white, stage:Stage IIA, dead, 176 days
417.8
TCGA-05-4426-01A
71 years, male, stage:Stage IB, alive, 791 days
411.0
TCGA-55-A493-01A
54 years, female, white, stage:Stage IB, alive, 28 days
403.4
TCGA-55-7570-01A
60 years, male, black or african american, stage:Stage IA, alive, 824 days
393.7
TCGA-MP-A4TI-01A
72 years, male, white, stage:Stage IIA, dead, 429 days
370.8
TCGA-38-4629-01A
68 years, male, white, stage:Stage IIB, dead, 864 days
366.1
TCGA-78-7145-01A
52 years, female, white, stage:Stage IV, dead, 826 days
357.8
TCGA-49-6743-01A
81 years, female, white, stage:Stage IIIA, alive, 1621 days
356.9
TCGA-35-4122-01A
69 years, male, white, stage:Stage IA, alive, 225 days
355.9
TCGA-50-6591-01A
63 years, female, white, stage:Stage IV, dead, 119 days
352.0
TCGA-05-4434-01A
67 years, female, stage:Stage IV, dead, 457 days
341.5
TCGA-55-8090-01A
80 years, male, white, stage:Stage IA, dead, 598 days
339.1
TCGA-50-5939-01A
85 years, male, white, stage:Stage IB, dead, 460 days
338.0
TCGA-05-4402-01A
57 years, female, stage:Stage IV, dead, 244 days
337.3
TCGA-50-5933-01A
72 years, male, white, stage:Stage IIIB, dead, 2393 days
337.0
TCGA-44-5643-01A
53 years, male, black or african american, stage:Stage IIIA, alive, 1013 days
336.4
TCGA-64-1679-01A
58 years, female, white, stage:Stage IIIA, alive, 2488 days
329.3
TCGA-73-4666-01A
52 years, female, white, stage:Stage IV, alive, 800 days
328.8
TCGA-44-6779-01A
50 years, female, white, stage:Stage IIB, dead, 500 days
328.2
TCGA-05-4250-01A
79 years, female, stage:Stage IIIA, dead, 121 days
327.4
TCGA-55-5899-01A
58 years, male, white, stage:'--, alive, 930 days
323.8
TCGA-49-AAR9-01A
61 years, male, black or african american, stage:Stage IIB, dead, 260 days
323.2
TCGA-50-5044-01A
72 years, female, white, stage:Stage IIIB, dead, 624 days
322.9
TCGA-49-6745-01A
82 years, male, white, stage:Stage IIIA, alive, 522 days
322.5
TCGA-73-4670-01A
69 years, female, white, stage:Stage IV, alive, 131 days
322.5
TCGA-05-4382-01A
68 years, male, stage:Stage IB, alive, 607 days
319.6
TCGA-05-4430-01A
59 years, female, stage:Stage IB, alive, 761 days
311.5
TCGA-64-5815-01A
74 years, male, white, stage:Stage IIB, alive, 866 days
310.2
TCGA-75-6214-01A
female, stage:Stage IIIA, dead, 1115 days
308.4
TCGA-05-4390-01A
58 years, female, stage:Stage IB, alive, 1126 days
305.7
TCGA-55-1594-01A
68 years, male, white, stage:Stage IIIA, alive, 1178 days
303.8
TCGA-05-4427-01A
65 years, female, stage:Stage IIB, alive, 791 days
302.7
TCGA-55-8505-01A
62 years, male, white, stage:Stage IIIA, alive, 440 days
301.2
TCGA-55-7724-01A
76 years, female, white, stage:Stage IB, alive, 705 days
296.1
TCGA-55-7726-01A
72 years, female, white, stage:Stage IA, alive, 652 days
295.8
TCGA-55-6975-01A
61 years, male, white, stage:Stage IIB, dead, 118 days
294.4
TCGA-73-4659-01A
66 years, male, white, stage:Stage IIIA, dead, 711 days
294.3
TCGA-38-4627-01A
64 years, female, white, stage:Stage IIA, dead, 1147 days
292.8
TCGA-86-7953-01A
69 years, female, white, stage:Stage IA, alive, 997 days
288.8
TCGA-99-8033-01A
74 years, female, white, stage:Stage IV, dead, 656 days
286.0
TCGA-73-4676-01A
45 years, male, white, stage:Stage IIA, dead, 281 days
284.8
TCGA-44-4112-01A
60 years, female, white, stage:Stage IB, dead, 808 days
284.8
TCGA-86-8358-01A
44 years, male, white, stage:Stage IB, alive, 653 days
278.9
TCGA-44-6777-01A
85 years, female, white, stage:Stage IB, dead, 987 days
277.3
TCGA-75-7027-01A
male, stage:Stage IB, alive, 3059 days
277.1
TCGA-50-5072-01A
74 years, male, white, stage:Stage IIIA, dead, 250 days
276.8
TCGA-55-8620-01A
60 years, male, white, stage:Stage IV, dead, 375 days
276.4
TCGA-50-5931-01A
75 years, female, white, stage:Stage IB, dead, 434 days
273.6
TCGA-50-5936-01A
58 years, male, white, stage:Stage IIIA, dead, 257 days
272.7
TCGA-91-6848-01A
59 years, male, white, stage:Stage IIIA, alive, 224 days
272.1
TCGA-78-7220-01A
53 years, female, white, stage:Stage IIIA, dead, 807 days
271.9
TCGA-55-7994-01A
81 years, male, white, stage:Stage IIB, alive, 603 days
270.3
TCGA-69-7974-01A
54 years, female, white, stage:Stage IIIA, alive, 184 days
269.7
TCGA-05-4425-01A
70 years, female, stage:Stage IV, alive, 669 days
268.9
TCGA-78-8660-01A
69 years, male, stage:Stage IIB, dead, 321 days
268.4
TCGA-55-8204-01A
87 years, female, white, stage:Stage IB, alive, 515 days
267.5
TCGA-50-6593-01A
49 years, female, white, stage:Stage IIIA, dead, 336 days
265.5
TCGA-55-A4DF-01A
88 years, male, white, stage:Stage IA, dead, 440 days
262.4
TCGA-49-6761-01A
68 years, female, white, stage:Stage IIIA, alive, 354 days
262.2
TCGA-91-6829-01A
78 years, male, white, stage:Stage IB, dead, 1258 days
258.7
TCGA-55-6968-01A
61 years, male, white, stage:Stage IV, dead, 1293 days
257.9
TCGA-91-6830-01A
65 years, female, white, stage:Stage IIA, alive, 60 days
256.4
TCGA-50-6590-01A
72 years, female, white, stage:Stage IB, dead, 1288 days
256.3
TCGA-71-8520-01A
60 years, female, asian, stage:Stage IB, dead, 210 days
254.8
TCGA-MP-A4T8-01A
68 years, male, stage:Stage IIIA, dead, 161 days
254.3
TCGA-62-A46V-01A
78 years, female, white, stage:Stage IB, alive, 2199 days
254.1
TCGA-95-A4VN-01A
62 years, female, white, stage:Stage IIA, alive, 553 days
253.8
TCGA-44-7667-01A
49 years, female, white, stage:Stage IIB, alive, 1097 days
252.9
TCGA-86-8055-01A
79 years, male, white, stage:Stage IIA, dead, 124 days
252.7
TCGA-50-5941-01A
55 years, female, white, stage:Stage IIIA, alive, 1474 days
252.3
TCGA-44-3398-01A
77 years, female, white, stage:Stage IA, alive, 1163 days
250.2
TCGA-67-3771-01A
77 years, female, black or african american, stage:Stage IA, alive, 610 days
250.0
TCGA-44-7669-01A
59 years, male, black or african american, stage:Stage IIA, dead, 574 days
250.0
TCGA-75-5125-01A
male, stage:Stage IIB, dead, 2027 days
248.8
TCGA-55-7995-01A
73 years, female, white, stage:Stage IA, alive, 889 days
246.1
TCGA-05-4389-01A
70 years, male, stage:Stage IA, alive, 1369 days
245.4
TCGA-95-7039-01A
54 years, female, white, stage:Stage IIB, alive, 1272 days
244.9
TCGA-91-6831-01A
66 years, male, white, stage:Stage IB, alive, 310 days
244.6
TCGA-MP-A4T7-01A
75 years, female, stage:Stage IV, dead, 167 days
244.5
TCGA-86-8074-01A
62 years, female, white, stage:Stage IIA, alive, 24 days
243.8
TCGA-38-4632-01A
42 years, male, black or african american, stage:Stage IV, dead, 1357 days
243.1
TCGA-O1-A52J-01A
74 years, female, white, stage:Stage IA, dead, 1798 days
240.8
TCGA-80-5611-01A
male, stage:Stage IB, alive, 2595 days
239.7
TCGA-86-8054-01A
61 years, male, white, stage:Stage IIB, alive, 1148 days
239.5
TCGA-05-4432-01A
66 years, male, stage:Stage IIB, alive, 761 days
238.2
TCGA-49-4501-01A
67 years, female, white, stage:Stage IB, dead, 1421 days
237.5
TCGA-95-7562-01A
71 years, male, black or african american, stage:Stage IIA, dead, 87 days
237.4
TCGA-44-2662-01A
65 years, male, white, stage:Stage IB, alive, 1280 days
237.4
TCGA-78-7150-01A
59 years, male, white, stage:Stage IIB, dead, 666 days
235.4
TCGA-05-4424-01A
70 years, male, stage:Stage IIB, alive, 913 days
235.2
TCGA-86-7711-01A
70 years, male, white, stage:Stage IIA, dead, 1046 days
234.7
TCGA-62-A471-01A
64 years, male, white, stage:Stage IIB, alive, 1246 days
233.7
TCGA-86-8075-01A
66 years, female, white, stage:Stage IB, dead, 694 days
233.6
TCGA-67-6216-01A
57 years, female, white, stage:Stage IA, alive, 141 days
232.6
TCGA-44-8120-01A
58 years, male, black or african american, stage:Stage IB, alive, 260 days
230.9
TCGA-73-4658-01A
80 years, female, white, stage:Stage IB, dead, 1600 days
230.8
TCGA-78-7160-01A
61 years, male, white, stage:Stage IV, dead, 697 days
230.0
TCGA-55-8299-01A
61 years, female, white, stage:Stage IA, dead, 469 days
228.1
TCGA-62-A472-01A
70 years, male, white, stage:Stage IIB, alive, 910 days
228.0
TCGA-67-3770-01A
70 years, female, white, stage:Stage IA, alive, 610 days
227.9
TCGA-75-5147-01A
female, stage:Stage IB, alive, 1333 days
227.8
TCGA-86-8672-01A
59 years, male, white, stage:Stage IIB, dead, 19 days
227.6
TCGA-78-7148-01A
71 years, male, white, stage:Stage IIB, dead, 626 days
227.3
TCGA-44-2665-01A
55 years, female, white, stage:Stage IIB, alive, 1301 days
226.1
TCGA-86-A4D0-01A
48 years, male, white, stage:Stage IIA, dead, 116 days
225.6
TCGA-78-7536-01A
69 years, male, white, stage:Stage IIIA, dead, 244 days
225.4
TCGA-55-6543-01A
60 years, female, white, stage:Stage IA, alive, 435 days
224.5
TCGA-38-4625-01A
66 years, female, white, stage:Stage IB, alive, 2973 days
223.8
TCGA-86-8279-01A
46 years, male, white, stage:Stage IIA, alive, 949 days
222.6
TCGA-MP-A4TC-01A
77 years, male, white, stage:Stage IIIA, dead, 74 days
222.5
TCGA-93-8067-01A
77 years, male, asian, stage:Stage IB, alive, 186 days
222.5
TCGA-50-6592-01A
71 years, female, white, stage:Stage IB, dead, 777 days
222.0
TCGA-MP-A4T9-01A
54 years, female, white, stage:Stage IIIA, dead, 1265 days
221.8
TCGA-05-4398-01A
47 years, female, stage:Stage IIIB, alive, 1431 days
221.7
TCGA-95-7947-01A
67 years, male, white, stage:Stage IA, alive, 477 days
221.3
TCGA-05-4249-01A
67 years, male, stage:Stage IB, alive, 1523 days
220.5
TCGA-83-5908-01A
59 years, female, white, stage:Stage IA, alive, 824 days
219.6
TCGA-93-A4JQ-01A
49 years, male, white, stage:Stage IA, alive, 526 days
219.2
TCGA-44-6774-01A
56 years, female, white, stage:Stage IIIA, alive, 658 days
218.6
TCGA-44-6145-01A
62 years, female, white, stage:Stage IA, alive, 595 days
217.2
TCGA-MP-A4SV-01A
67 years, male, stage:Stage IB, dead, 2620 days
217.0
TCGA-55-8089-01A
56 years, male, white, stage:Stage IA, dead, 702 days
216.5
TCGA-55-6970-01A
67 years, female, white, stage:Stage IIIA, dead, 464 days
216.2
TCGA-49-AAQV-01A
63 years, female, black or african american, stage:Stage II, dead, 677 days
215.5
TCGA-62-8402-01A
73 years, female, white, stage:Stage IIIA, dead, 1498 days
215.4
TCGA-MP-A4SY-01A
61 years, male, white, stage:Stage IIB, dead, 1501 days
211.2
TCGA-55-8614-01A
76 years, male, white, stage:Stage IB, alive, 536 days
210.9
TCGA-38-4626-01A
57 years, female, white, stage:'--, alive, 3674 days
207.9
TCGA-05-4396-01A
76 years, male, stage:Stage IIIB, dead, 303 days
206.8
TCGA-49-4505-01A
61 years, female, white, stage:Stage IIB, dead, 428 days
206.4
TCGA-97-8176-01A
63 years, male, white, stage:Stage IIIA, dead, 468 days
206.1
TCGA-97-8547-01A
78 years, female, stage:Stage IIIA, alive, 657 days
205.3
TCGA-55-7727-01A
70 years, male, white, stage:Stage IIIA, alive, 119 days
205.3
TCGA-49-4488-01A
74 years, female, white, stage:Stage IA, dead, 869 days
203.7
TCGA-J2-A4AD-01A
61 years, female, white, stage:Stage IA, dead, 550 days
202.7
TCGA-J2-8194-01A
69 years, female, white, stage:Stage IIB, alive, 724 days
202.5
TCGA-69-7973-01A
42 years, female, white, stage:Stage IB, alive, 230 days
202.4
TCGA-55-6980-01A
56 years, male, white, stage:Stage IA, alive, 2109 days
201.5
TCGA-44-3917-01A
33 years, female, white, stage:Stage IB, alive, 1183 days
200.6
TCGA-05-4433-01A
82 years, male, stage:Stage IB, alive, 730 days
199.8
TCGA-97-8175-01A
55 years, female, white, stage:Stage IB, alive, 551 days
199.8
TCGA-38-6178-01A
70 years, female, white, stage:Stage IIIA, alive, 448 days
199.6
TCGA-05-4422-01A
68 years, male, stage:Stage IB, alive, 365 days
199.3
TCGA-55-7227-01A
77 years, male, white, stage:Stage IIIA, dead, 952 days
196.3
TCGA-86-7713-01A
70 years, male, white, stage:Stage IIA, alive, 1157 days
195.7
TCGA-55-7816-01A
49 years, female, white, stage:Stage IV, dead, 468 days
195.4
TCGA-05-5425-01A
68 years, male, stage:Stage IIB, alive, 882 days
195.3
TCGA-86-7954-01A
68 years, female, white, stage:Stage IB, alive, 605 days
194.4
TCGA-55-7903-01A
64 years, male, white, stage:Stage IA, alive, 567 days
193.1
TCGA-44-3919-01A
71 years, female, white, stage:Stage IA, dead, 1026 days
191.9
TCGA-05-4418-01A
69 years, male, stage:Stage IIIA, dead, 274 days
191.7
TCGA-67-3774-01A
73 years, female, white, stage:Stage IB, alive, 385 days
191.3
TCGA-55-7911-01A
70 years, female, white, stage:Stage IA, alive, 537 days
191.0
TCGA-44-8119-01A
73 years, male, white, stage:Stage IIB, alive, 285 days
190.6
TCGA-78-8640-01A
59 years, male, stage:Stage IIA, alive, 7062 days
190.2
TCGA-55-1592-01A
65 years, male, white, stage:Stage IA, dead, 701 days
190.2
TCGA-97-7554-01A
83 years, female, white, stage:Stage IIIA, alive, 775 days
189.6
TCGA-MN-A4N1-01A
60 years, male, black or african american, stage:Stage IIA, alive, 827 days
189.6
TCGA-44-7662-01A
61 years, male, white, stage:Stage IB, alive, 218 days
189.3
TCGA-50-5946-01A
62 years, male, white, stage:Stage IA, alive, 1617 days
189.1
TCGA-69-7765-01A
56 years, male, black or african american, stage:'--, alive, 165 days
188.6
TCGA-55-7815-01A
76 years, male, stage:Stage IB, alive, 773 days
188.5
TCGA-49-6744-01A
64 years, female, white, stage:Stage IIA, alive, 1683 days
188.4
TCGA-50-5068-01A
59 years, female, white, stage:Stage IIB, dead, 1499 days
187.4
TCGA-64-1678-01A
70 years, female, white, stage:'--, alive, 1189 days
187.1
TCGA-62-A46Y-01A
70 years, female, white, stage:Stage IIIA, dead, 414 days
186.9
TCGA-49-6767-01A
46 years, female, white, stage:Stage IIB, alive, 677 days
186.7
TCGA-78-8662-01A
53 years, female, stage:Stage IB, dead, 3361 days
185.8
TCGA-67-6217-01A
73 years, female, white, stage:Stage IIA, alive, 422 days
185.1
TCGA-44-6778-01A
59 years, male, black or african american, stage:Stage IA, alive, 1864 days
185.0
TCGA-MP-A4TK-01A
56 years, female, stage:Stage IIB, dead, 582 days
184.4
TCGA-99-7458-01A
74 years, female, white, stage:Stage IIIA, alive, 747 days
183.4
TCGA-62-8394-01A
65 years, female, white, stage:Stage IIIB, dead, 139 days
183.3
TCGA-55-7907-01A
77 years, male, white, stage:Stage IIA, dead, 343 days
183.1
TCGA-78-7163-01A
60 years, male, white, stage:Stage IB, alive, 7248 days
182.7
TCGA-86-6562-01A
52 years, male, white, stage:Stage IIA, dead, 376 days
182.3
TCGA-86-A456-01A
78 years, female, asian, stage:Stage IA, alive, 896 days
181.8
TCGA-55-8507-01A
53 years, male, white, stage:Stage IA, alive, 418 days
180.9
TCGA-05-4403-01A
76 years, male, stage:Stage IB, alive, 578 days
180.9
TCGA-44-2656-01A
59 years, male, white, stage:Stage IB, alive, 1429 days
180.0
TCGA-J2-8192-01A
65 years, female, white, stage:Stage IIA, alive, 739 days
179.8
TCGA-86-8673-01A
61 years, male, white, stage:Stage IB, alive, 862 days
179.4
TCGA-97-8177-01A
59 years, female, white, stage:Stage IB, alive, 499 days
178.9
TCGA-50-5051-01A
42 years, female, white, stage:Stage IIIA, dead, 478 days
178.8
TCGA-50-5066-01A
72 years, male, black or african american, stage:Stage IB, alive, 1442 days
178.5
TCGA-95-8039-01A
72 years, male, white, stage:Stage IA, alive, 830 days
178.0
TCGA-38-4628-01A
65 years, female, white, stage:Stage IIB, dead, 1492 days
178.0
TCGA-55-8506-01A
62 years, female, white, stage:Stage IIB, alive, 11 days
177.1
TCGA-86-8073-01A
58 years, male, white, stage:Stage IB, alive, 740 days
177.1
TCGA-49-4506-01A
68 years, female, white, stage:Stage IIB, dead, 999 days
176.5
TCGA-MP-A4SW-01A
53 years, male, white, stage:Stage IIB, dead, 1778 days
176.5
TCGA-55-7576-01A
54 years, male, black or african american, stage:Stage IB, alive, 670 days
176.3
TCGA-62-8399-01A
62 years, male, white, stage:Stage IIIA, alive, 2696 days
175.7
TCGA-05-4384-01A
66 years, male, stage:Stage IIIA, alive, 426 days
174.2
TCGA-64-5774-01A
60 years, male, white, stage:Stage IB, alive, 2676 days
173.7
TCGA-86-7701-01A
66 years, male, white, stage:Stage IV, alive, 947 days
173.4
TCGA-75-6212-01A
female, stage:Stage IIB, dead, 1516 days
172.5
TCGA-62-8395-01A
80 years, female, white, stage:Stage IIB, alive, 1216 days
172.4
TCGA-93-7347-01A
76 years, female, white, stage:Stage IA, alive, 683 days
172.0
TCGA-MP-A4TF-01A
58 years, female, white, stage:Stage IIA, dead, 336 days
170.9
TCGA-62-8397-01A
70 years, female, white, stage:Stage IIB, alive, 1289 days
170.6
TCGA-97-7553-01A
58 years, female, white, stage:Stage IA, alive, 1870 days
169.9
TCGA-05-4397-01A
65 years, male, stage:Stage IIB, dead, 731 days
169.6
TCGA-NJ-A55R-01A
67 years, male, white, stage:Stage IA, alive, 603 days
169.5
TCGA-55-6982-01A
79 years, female, white, stage:Stage IIB, dead, 995 days
169.5
TCGA-MN-A4N4-01A
57 years, male, white, stage:Stage IA, alive, 1175 days
169.4
TCGA-75-5146-01A
male, stage:Stage IB, alive, 2368 days
169.4
TCGA-55-A491-01A
81 years, female, white, stage:Stage IA, alive, 626 days
169.2
TCGA-50-5944-01A
69 years, female, white, stage:Stage IA, alive, 1750 days
169.2
TCGA-55-8301-01A
58 years, male, white, stage:Stage IB, alive, 534 days
168.7
TCGA-44-7671-01A
64 years, male, black or african american, stage:Stage IB, alive, 889 days
168.6
TCGA-95-7567-01A
61 years, male, white, stage:Stage IIB, alive, 568 days
168.2
TCGA-49-AARO-01A
39 years, female, black or african american, stage:Stage IA, alive, 3759 days
167.4
TCGA-44-2655-01A
65 years, female, white, stage:Stage IA, alive, 1324 days
167.2
TCGA-44-8117-01A
54 years, female, white, stage:Stage IB, alive, 385 days
167.0
TCGA-95-7944-01A
71 years, male, white, stage:Stage IA, alive, 377 days
166.4
TCGA-44-A4SS-01A
73 years, male, white, stage:Stage IA, alive, 415 days
166.2
TCGA-44-A47B-01A
79 years, male, white, stage:Stage IB, alive, 287 days
165.8
TCGA-80-5608-01A
female, stage:Stage IA, alive, 2832 days
165.6
TCGA-73-4675-01A
59 years, male, white, stage:Stage IIIA, dead, 922 days
165.4
TCGA-L9-A5IP-01A
40 years, female, black or african american, stage:Stage IV, dead, 58 days
165.3
TCGA-69-8453-01A
77 years, male, white, stage:Stage IIB, alive, 813 days
164.5
TCGA-97-7938-01A
76 years, female, white, stage:Stage IA, dead, 18 days
164.0
TCGA-86-8280-01A
54 years, female, white, stage:Stage IIA, alive, 701 days
163.4
TCGA-05-4420-01A
41 years, male, stage:Stage IB, alive, 912 days
163.3
TCGA-44-3396-01A
74 years, female, white, stage:Stage IIIA, alive, 1130 days
163.1
TCGA-05-5428-01A
57 years, male, stage:Stage IIA, alive, 670 days
163.0
TCGA-44-6775-01A
72 years, female, white, stage:Stage IB, alive, 705 days
162.8
TCGA-97-A4M6-01A
45 years, female, white, stage:Stage IA, alive, 568 days
162.5
TCGA-78-7159-01A
60 years, female, white, stage:Stage IA, alive, 1974 days
162.1
TCGA-91-6828-01A
70 years, male, white, stage:Stage IA, alive, 323 days
161.9
TCGA-97-8179-01A
72 years, male, white, stage:Stage IA, alive, 435 days
161.6
TCGA-55-8615-01A
67 years, male, white, stage:Stage IIIA, alive, 446 days
161.1
TCGA-50-8459-01A
68 years, male, white, stage:Stage IIB, alive, 1119 days
161.1
TCGA-55-6985-01A
58 years, female, white, stage:Stage IB, alive, 1233 days
160.8
TCGA-49-4490-01A
45 years, female, white, stage:Stage IIIA, dead, 385 days
160.7
TCGA-49-AAR4-01A
51 years, male, black or african american, stage:Stage IIIA, dead, 879 days
160.6
TCGA-05-5423-01A
65 years, male, stage:Stage IIB, alive, 151 days
160.6
TCGA-55-8096-01A
67 years, female, white, stage:Stage IB, dead, 719 days
160.2
TCGA-78-7143-01A
62 years, female, white, stage:Stage IB, dead, 4961 days
160.1
TCGA-69-7980-01A
70 years, female, white, stage:Stage I, alive, 411 days
159.9
TCGA-91-8496-01A
63 years, female, white, stage:Stage IB, alive, 505 days
159.5
TCGA-55-6981-01A
53 years, female, white, stage:Stage IIIA, dead, 1379 days
159.5
TCGA-67-6215-01A
52 years, female, white, stage:Stage IB, alive, 174 days
159.4
TCGA-69-7760-01A
73 years, male, white, stage:Stage IIB, alive, 202 days
158.8
TCGA-86-8056-01A
63 years, female, white, stage:Stage IIIA, alive, 139 days
158.5
TCGA-67-3773-01A
84 years, female, white, stage:Stage IB, alive, 427 days
158.2
TCGA-55-6986-01A
74 years, female, white, stage:Stage IB, alive, 3261 days
158.1
TCGA-91-6847-01A
62 years, female, white, stage:Stage IB, alive, 842 days
157.6
TCGA-55-6712-01A
71 years, male, white, stage:Stage IIA, dead, 171 days
157.6
TCGA-86-7714-01A
61 years, female, black or african american, stage:Stage IIIA, dead, 625 days
157.4
TCGA-55-7573-01A
72 years, female, white, stage:Stage IA, alive, 487 days
157.1
TCGA-44-7660-01A
72 years, male, white, stage:Stage IB, alive, 592 days
156.1
TCGA-50-5935-01A
86 years, female, white, stage:Stage IA, dead, 653 days
155.7
TCGA-75-6206-01A
male, stage:Stage IB, alive, 2590 days
154.9
TCGA-69-7761-01A
84 years, male, white, stage:Stage IB, alive, 186 days
154.7
TCGA-55-8085-01A
64 years, male, white, stage:Stage IA, alive, 904 days
154.6
TCGA-L4-A4E5-01A
48 years, female, white, stage:Stage I, alive, 578 days
154.5
TCGA-05-4417-01A
51 years, female, stage:Stage IB, alive, 455 days
154.4
TCGA-78-7154-01A
72 years, male, white, stage:Stage IIIA, dead, 593 days
154.3
TCGA-69-7978-01A
59 years, male, white, stage:Stage IIB, alive, 134 days
153.6
TCGA-64-1677-01A
77 years, female, white, stage:Stage IIIA, dead, 628 days
153.0
TCGA-97-A4LX-01A
81 years, male, white, stage:Stage IB, alive, 614 days
151.8
TCGA-44-A47G-01A
73 years, female, white, stage:Stage IA, alive, 351 days
151.7
TCGA-NJ-A7XG-01A
49 years, male, black or african american, stage:Stage IIIA, alive, 617 days
151.0
TCGA-91-6835-01A
81 years, female, white, stage:Stage IA, alive, 79 days
150.9
TCGA-86-8668-01A
61 years, female, white, stage:Stage IA, alive, 423 days
150.9
TCGA-78-7147-01A
67 years, female, white, stage:Stage IIB, dead, 586 days
150.6
TCGA-38-4631-01A
72 years, female, white, stage:Stage IB, dead, 354 days
150.2
TCGA-L9-A743-01A
56 years, male, black or african american, stage:Stage IIA, alive, 664 days
149.9
TCGA-86-8671-01A
72 years, female, white, stage:Stage IIB, alive, 839 days
149.9
TCGA-55-A490-01A
78 years, male, white, stage:Stage IIA, dead, 99 days
149.1
TCGA-NJ-A4YF-01A
50 years, female, black or african american, stage:Stage IA, alive, 2161 days
149.0
TCGA-55-7283-01A
76 years, female, white, stage:Stage IIIA, alive, 609 days
148.9
TCGA-05-4405-01A
74 years, female, stage:Stage IB, alive, 610 days
148.8
TCGA-55-A57B-01A
80 years, female, black or african american, stage:Stage IA, alive, 546 days
146.9
TCGA-69-A59K-01A
60 years, female, black or african american, stage:Stage IIB, alive, 591 days
146.5
TCGA-73-4677-01A
74 years, male, white, stage:'--, dead, 38 days
146.4
TCGA-55-8091-01A
74 years, male, white, stage:Stage IB, alive, 600 days
146.3
TCGA-50-5045-01A
57 years, female, black or african american, stage:'--, dead, 2174 days
145.9
TCGA-49-6742-01A
70 years, male, white, stage:Stage IIA, dead, 488 days
145.2
TCGA-86-8076-01A
42 years, male, white, stage:Stage IA, alive, 993 days
145.0
TCGA-50-5932-01A
75 years, male, white, stage:Stage IIB, dead, 1235 days
143.9
TCGA-55-6983-01A
81 years, male, white, stage:Stage IIB, alive, 2823 days
143.1
TCGA-55-8087-01A
59 years, female, white, stage:Stage IB, alive, 462 days
142.7
TCGA-86-8278-01A
63 years, female, white, stage:Stage IIB, alive, 944 days
142.6
TCGA-50-5049-01A
70 years, male, white, stage:Stage IA, alive, 3094 days
142.0
TCGA-53-A4EZ-01A
63 years, male, white, stage:Stage IIA, alive, 1071 days
141.8
TCGA-97-8171-01A
81 years, male, asian, stage:Stage IV, alive, 568 days
141.7
TCGA-50-5930-01A
47 years, male, white, stage:Stage IIIA, dead, 282 days
141.7
TCGA-62-A470-01A
84 years, male, white, stage:Stage IB, dead, 1194 days
141.5
TCGA-MP-A4TE-01A
56 years, male, white, stage:Stage IIA, dead, 896 days
141.4
TCGA-38-A44F-01A
80 years, male, white, stage:Stage IB, alive, 133 days
141.2
TCGA-44-3918-01A
60 years, female, white, stage:Stage IA, alive, 1036 days
140.6
TCGA-55-A494-01A
61 years, female, white, stage:Stage IB, alive, 481 days
140.5
TCGA-97-7941-01A
72 years, female, white, stage:Stage IA, alive, 484 days
140.5
TCGA-55-8621-01A
75 years, female, white, stage:Stage IA, alive, 515 days
139.5
TCGA-69-7763-01A
69 years, male, white, stage:Stage IA, alive, 690 days
139.5
TCGA-55-A48Z-01A
60 years, female, white, stage:Stage IIIB, alive, 651 days
139.3
TCGA-44-A47A-01A
78 years, female, white, stage:Stage IB, alive, 466 days
139.2
TCGA-44-5645-01A
61 years, female, black or african american, stage:Stage IA, alive, 852 days
139.1
TCGA-97-7547-01A
67 years, female, white, stage:Stage IB, alive, 1965 days
139.0
TCGA-53-7626-01A
76 years, female, white, stage:Stage IIA, dead, 929 days
138.3
TCGA-64-5778-01A
60 years, male, white, stage:Stage IB, alive, 1305 days
137.9
TCGA-05-5715-01A
69 years, female, stage:Stage IB, alive, 62 days
137.7
TCGA-50-6673-01A
84 years, female, white, stage:Stage I, dead, 22 days
137.7
TCGA-55-6984-01A
71 years, female, white, stage:Stage IIB, dead, 760 days
137.7
TCGA-44-2666-01A
43 years, male, white, stage:Stage IB, dead, 97 days
137.3
TCGA-44-6147-01A
67 years, female, white, stage:Stage IA, alive, 845 days
137.3
TCGA-86-7955-01A
62 years, male, white, stage:Stage IB, alive, 1072 days
137.0
TCGA-55-8203-01A
69 years, female, white, stage:Stage IA, alive, 547 days
136.7
TCGA-44-6776-01A
60 years, female, white, stage:Stage IA, alive, 2616 days
136.7
TCGA-97-A4M0-01A
60 years, female, white, stage:Stage IB, alive, 652 days
136.3
TCGA-99-8032-01A
61 years, male, white, stage:Stage IA, alive, 44 days
136.3
TCGA-44-5644-01A
51 years, female, white, stage:Stage IB, alive, 863 days
136.0
TCGA-64-5781-01A
55 years, female, white, stage:Stage IB, alive, 1559 days
135.5
TCGA-55-8616-01A
58 years, female, white, stage:Stage IB, alive, 48 days
135.5
TCGA-67-3772-01A
82 years, female, white, stage:Stage IB, alive, 573 days
135.2
TCGA-05-5420-01A
67 years, male, stage:Stage IIIA, alive, 457 days
134.7
TCGA-97-8172-01A
75 years, female, white, stage:Stage IB, alive, 545 days
134.5
TCGA-55-8208-01A
73 years, female, white, stage:Stage IA, alive, 674 days
134.5
TCGA-MP-A5C7-01A
76 years, female, white, stage:Stage IB, alive, 2248 days
134.1
TCGA-MP-A4TA-01A
75 years, female, white, stage:Stage IA, dead, 950 days
133.5
TCGA-55-A48Y-01A
69 years, male, white, stage:Stage IIA, alive, 630 days
132.9
TCGA-97-8174-01A
67 years, male, white, stage:Stage IIA, dead, 164 days
132.5
TCGA-97-A4M7-01A
74 years, male, white, stage:Stage IA, alive, 629 days
132.0
TCGA-93-A4JN-01A
71 years, male, white, stage:Stage IV, alive, 718 days
132.0
TCGA-95-A4VK-01A
74 years, female, white, stage:Stage IIIA, alive, 651 days
131.3
TCGA-38-7271-01A
72 years, female, white, stage:Stage IA, dead, 800 days
131.3
TCGA-55-6987-01A
77 years, male, white, stage:Stage IA, alive, 2137 days
131.2
TCGA-55-6971-01A
59 years, female, white, stage:Stage IB, alive, 1400 days
131.1
TCGA-38-4630-01A
75 years, female, white, stage:Stage IB, dead, 1073 days
130.2
TCGA-69-8255-01A
71 years, male, white, stage:Stage IA, alive, 129 days
130.2
TCGA-86-A4JF-01A
56 years, male, white, stage:Stage IIB, dead, 737 days
130.1
TCGA-55-8206-01A
56 years, male, white, stage:Stage IA, alive, 888 days
130.1
TCGA-49-4494-01A
77 years, male, white, stage:Stage IIIA, dead, 1081 days
130.0
TCGA-05-5429-01A
60 years, male, stage:Stage IIIA, dead, 275 days
130.0
TCGA-55-7910-01A
50 years, female, black or african american, stage:Stage IIA, alive, 1040 days
129.8
TCGA-L9-A8F4-01A
64 years, female, black or african american, stage:Stage IB, alive, 476 days
129.7
TCGA-73-7498-01A
58 years, female, white, stage:Stage IA, alive, 1189 days
129.7
TCGA-44-7672-01A
52 years, female, white, stage:Stage IA, alive, 719 days
129.3
TCGA-86-8585-01A
57 years, male, white, stage:Stage IB, alive, 353 days
129.1
TCGA-50-7109-01A
60 years, male, white, stage:Stage IA, dead, 308 days
128.7
TCGA-91-8499-01A
76 years, female, white, stage:Stage IA, alive, 36 days
128.7
TCGA-NJ-A4YP-01A
52 years, male, white, stage:Stage IB, alive, 50 days
128.2
TCGA-78-8648-01A
58 years, female, stage:Stage IIB, dead, 1209 days
128.1
TCGA-86-8669-01A
64 years, male, white, stage:Stage IA, alive, 938 days
128.0
TCGA-44-7670-01A
47 years, female, white, stage:Stage IIA, alive, 882 days
128.0
TCGA-L4-A4E6-01A
67 years, male, white, stage:Stage IA, alive, 435 days
127.3
TCGA-95-7948-01A
42 years, female, white, stage:Stage IB, alive, 476 days
127.0
TCGA-78-7162-01A
75 years, male, white, stage:Stage IA, dead, 3169 days
126.8
TCGA-62-A46R-01A
54 years, female, white, stage:Stage IB, dead, 1725 days
126.7
TCGA-97-7552-01A
70 years, male, white, stage:Stage IB, alive, 1932 days
126.6
TCGA-35-5375-01A
61 years, male, white, stage:Stage IIIA, alive, 264 days
126.4
TCGA-49-AARN-01A
56 years, female, black or african american, stage:Stage IA, dead, 1135 days
125.8
TCGA-49-4510-01A
51 years, female, black or african american, stage:Stage IIB, dead, 896 days
125.7
TCGA-91-A4BD-01A
78 years, male, white, stage:Stage IIA, alive, 603 days
125.5
TCGA-97-A4M5-01A
83 years, male, white, stage:Stage IA, alive, 634 days
124.3
TCGA-44-A479-01A
73 years, female, black or african american, stage:Stage IB, alive, 486 days
124.2
TCGA-78-7152-01A
65 years, male, white, stage:Stage IB, dead, 1215 days
123.4
TCGA-49-AAR3-01A
69 years, male, black or african american, stage:Stage IIB, alive, 1893 days
123.3
TCGA-64-1680-01A
63 years, male, white, stage:Stage IV, alive, 1126 days
122.9
TCGA-78-7633-01A
67 years, male, white, stage:Stage IB, dead, 1528 days
122.7
TCGA-78-7158-01A
59 years, female, white, stage:Stage IIIB, dead, 179 days
121.9
TCGA-44-2661-01A
69 years, female, white, stage:Stage IA, alive, 1159 days
121.9
TCGA-55-8094-01A
51 years, male, white, stage:Stage IV, alive, 541 days
121.8
TCGA-4B-A93V-01A
52 years, female, black or african american, stage:Stage IA, dead, 300 days
121.7
TCGA-73-4668-01A
66 years, female, american indian or alaska native, stage:Stage IIB, alive, 467 days
121.7
TCGA-64-1676-01A
58 years, male, white, stage:Stage IA, alive, 1728 days
121.6
TCGA-55-7574-01A
64 years, female, white, stage:Stage IB, dead, 995 days
121.1
TCGA-93-A4JP-01A
64 years, male, asian, stage:Stage IV, alive, 578 days
120.7
TCGA-99-8025-01A
72 years, female, black or african american, stage:Stage IIIA, alive, 1060 days
120.6
TCGA-64-1681-01A
61 years, female, white, stage:Stage IA, dead, 1167 days
120.4
TCGA-50-5055-01A
79 years, female, white, stage:Stage IIA, dead, 1830 days
119.6
TCGA-J2-A4AG-01A
66 years, female, white, stage:Stage IA, alive, 988 days
119.5
TCGA-49-4507-01A
73 years, female, white, stage:Stage IIIA, dead, 268 days
119.1
TCGA-55-7914-01A
71 years, female, white, stage:Stage IIA, dead, 187 days
118.5
TCGA-69-8253-01A
59 years, female, black or african american, stage:Stage IIA, alive, 426 days
117.9
TCGA-78-7153-01A
65 years, female, white, stage:Stage IB, alive, 3635 days
117.8
TCGA-97-A4M1-01A
52 years, female, white, stage:Stage IA, alive, 601 days
117.5
TCGA-55-8619-01A
72 years, female, white, stage:Stage IIB, alive, 416 days
117.3
TCGA-50-8460-01A
74 years, male, white, stage:Stage IA, alive, 829 days
117.3
TCGA-69-7979-01A
71 years, female, white, stage:Stage IB, alive, 408 days
116.7
TCGA-97-A4M2-01A
66 years, male, white, stage:Stage IA, alive, 624 days
116.6
TCGA-MP-A4T4-01A
68 years, female, white, stage:Stage IIB, dead, 2617 days
115.1
TCGA-71-6725-01A
48 years, female, asian, stage:Stage IB, alive, 256 days
115.0
TCGA-97-8552-01A
55 years, female, white, stage:Stage I, alive, 626 days
114.4
TCGA-97-7937-01A
65 years, male, white, stage:Stage IB, alive, 564 days
114.1
TCGA-L9-A50W-01A
75 years, male, black or african american, stage:Stage IIA, dead, 442 days
114.0
TCGA-86-6851-01A
73 years, female, white, stage:Stage IIA, alive, 179 days
113.9
TCGA-44-6148-01A
60 years, male, white, stage:Stage IA, alive, 704 days
113.5
TCGA-55-8097-01A
60 years, female, white, stage:Stage IA, alive, 476 days
113.5
TCGA-55-8512-01A
41 years, male, white, stage:Stage IV, dead, 607 days
113.3
TCGA-55-8207-01A
73 years, male, white, stage:Stage IB, alive, 977 days
113.3
TCGA-55-8510-01A
55 years, female, white, stage:Stage IB, alive, 539 days
112.7
TCGA-44-2657-01A
74 years, female, white, stage:Stage IB, alive, 1351 days
112.4
TCGA-73-4662-01A
65 years, female, white, stage:Stage IA, alive, 2515 days
112.2
TCGA-50-5942-01A
67 years, female, white, stage:Stage IA, alive, 1847 days
111.8
TCGA-49-AAR0-01A
57 years, male, black or african american, stage:Stage IA, alive, 4765 days
111.2
TCGA-91-8497-01A
75 years, female, white, stage:Stage IA, dead, 434 days
110.4
TCGA-55-8513-01A
77 years, female, white, stage:Stage IIB, alive, 791 days
110.2
TCGA-69-7764-01A
75 years, male, white, stage:Stage IA, alive, 414 days
110.1
TCGA-97-7546-01A
76 years, female, white, stage:Stage IA, alive, 1285 days
109.9
TCGA-86-A4P7-01A
63 years, female, white, stage:Stage IB, alive, 415 days
109.8
TCGA-73-7499-01A
81 years, female, white, stage:Stage IB, dead, 1531 days
109.4
TCGA-55-6979-01A
59 years, female, white, stage:Stage IIB, dead, 237 days
109.3
TCGA-62-A46S-01A
73 years, male, white, stage:Stage IB, dead, 1653 days
109.2
TCGA-75-7025-01A
male, stage:Stage IB, alive, 3305 days
108.6
TCGA-NJ-A55O-01A
56 years, female, white, stage:Stage IIA, alive, 13 days
108.6
TCGA-44-7659-01A
70 years, male, white, stage:Stage IA, alive, 691 days
107.9
TCGA-MN-A4N5-01A
63 years, male, white, stage:Stage IA, alive, 84 days
106.8
TCGA-44-2659-01A
65 years, female, white, stage:Stage IIB, alive, 1367 days
106.1
TCGA-78-8655-01A
77 years, female, stage:Stage IA, alive, 2360 days
105.8
TCGA-99-AA5R-01A
70 years, female, black or african american, stage:Stage IA, alive, 658 days
105.7
TCGA-49-4487-01A
72 years, female, white, stage:Stage IA, dead, 855 days
105.3
TCGA-49-AARR-01A
68 years, male, black or african american, stage:Stage IA, alive, 4992 days
105.3
TCGA-55-6642-01A
63 years, male, white, stage:Stage IB, alive, 2449 days
104.3
TCGA-99-8028-01A
50 years, female, black or african american, stage:Stage IA, alive, 1118 days
104.1
TCGA-95-A4VP-01A
66 years, female, white, stage:Stage IIIA, alive, 605 days
103.4
TCGA-73-A9RS-01A
41 years, male, black or african american, stage:Stage IIB, dead, 340 days
103.3
TCGA-86-A4P8-01A
59 years, female, white, stage:Stage IIIA, alive, 805 days
103.2
TCGA-55-8511-01A
73 years, female, white, stage:Stage IB, alive, 552 days
103.1
TCGA-97-A4M3-01A
69 years, female, white, stage:Stage IA, alive, 540 days
103.0
TCGA-44-6146-01A
64 years, male, white, stage:Stage IIB, alive, 728 days
103.0
TCGA-62-A46O-01A
65 years, female, white, stage:Stage IB, dead, 1454 days
102.8
TCGA-55-6972-01A
72 years, male, white, stage:Stage IB, dead, 1632 days
102.6
TCGA-78-7539-01A
75 years, female, white, stage:Stage IIA, alive, 791 days
102.0
TCGA-NJ-A4YQ-01A
69 years, female, white, stage:Stage IA, alive, 1432 days
101.7
TCGA-MP-A4TH-01A
70 years, female, white, stage:Stage IA, alive, 741 days
101.7
TCGA-95-7043-01A
63 years, female, white, stage:Stage IA, dead, 503 days
101.4
TCGA-55-A492-01A
70 years, female, white, stage:Stage IA, alive, 596 days
100.5
TCGA-93-A4JO-01A
70 years, male, white, stage:Stage IA, dead, 33 days
100.5
TCGA-91-7771-01A
62 years, male, white, stage:Stage IIB, alive, 492 days
99.7
TCGA-55-A48X-01A
63 years, female, white, stage:Stage IIA, alive, 689 days
99.6
TCGA-69-8254-01A
85 years, male, white, stage:'--, alive, 409 days
99.0
TCGA-MP-A4TJ-01A
62 years, female, stage:Stage IA, dead, 339 days
98.6
TCGA-49-4486-01A
72 years, male, white, stage:Stage IA, dead, 2318 days
98.2
TCGA-86-8674-01A
50 years, male, white, stage:Stage IIA, alive, 806 days
97.6
TCGA-93-7348-01A
75 years, female, white, stage:Stage IA, alive, 531 days
97.3
TCGA-MP-A4TD-01A
71 years, male, white, stage:Stage IIIA, dead, 307 days
97.0
TCGA-44-A4SU-01A
67 years, female, white, stage:Stage IA, dead, 409 days
96.2
TCGA-91-6849-01A
75 years, female, black or african american, stage:Stage IIIA, alive, 35 days
96.2
TCGA-55-8092-01A
75 years, male, white, stage:Stage IIB, dead, 154 days
94.8
TCGA-78-7167-01A
77 years, male, white, stage:Stage IV, dead, 2681 days
93.4
TCGA-86-8359-01A
52 years, male, white, stage:Stage IIIA, dead, 444 days
92.6
TCGA-NJ-A4YI-01A
87 years, female, white, stage:Stage IIIA, dead, 4 days
92.6
TCGA-49-AARE-01A
51 years, female, black or african american, stage:Stage IA, dead, 1229 days
92.4
TCGA-NJ-A55A-01A
76 years, female, white, stage:Stage IB, alive, 15 days
92.3
TCGA-J2-A4AE-01A
77 years, female, white, stage:Stage IA, alive, 1079 days
91.9
TCGA-55-7728-01A
64 years, female, white, stage:Stage IB, alive, 704 days
90.8
TCGA-78-7156-01A
62 years, male, white, stage:Stage IV, dead, 976 days
90.8
TCGA-55-7725-01A
68 years, female, white, stage:Stage IA, alive, 442 days
89.8
TCGA-NJ-A4YG-01A
65 years, male, white, stage:Stage IB, alive, 2261 days
89.6
TCGA-78-7149-01A
71 years, male, white, stage:Stage IIIB, alive, 3940 days
89.0
TCGA-55-7281-01A
70 years, female, white, stage:Stage IA, alive, 872 days
89.0
TCGA-91-6840-01A
59 years, female, white, stage:Stage IA, alive, 372 days
88.3
TCGA-L9-A444-01A
60 years, female, white, stage:Stage IA, alive, 307 days
87.0
TCGA-35-3615-01A
57 years, male, white, stage:Stage IB, alive, 14 days
86.5
TCGA-91-A4BC-01A
59 years, male, white, stage:Stage IIA, alive, 44 days
84.9
TCGA-78-7161-01A
69 years, female, white, stage:Stage IIB, dead, 291 days
84.5
TCGA-53-7813-01A
51 years, female, white, stage:Stage IIIB, alive, 424 days
84.5
TCGA-49-4512-01A
69 years, female, white, stage:Stage IIIA, dead, 905 days
83.1
TCGA-S2-AA1A-01A
68 years, female, black or african american, stage:Stage IA, alive, 513 days
82.2
TCGA-L9-A7SV-01A
69 years, male, black or african american, stage:Stage IIA, alive, 565 days
82.1
TCGA-50-8457-01A
63 years, female, black or african american, stage:Stage IA, alive, 1125 days
80.8
TCGA-64-5779-01A
61 years, male, white, stage:Stage IIIA, alive, 864 days
78.1
TCGA-78-7540-01A
66 years, female, white, stage:Stage IB, dead, 1197 days
77.7
TCGA-MP-A4T6-01A
76 years, female, white, stage:Stage IIIA, dead, 1790 days
77.3
TCGA-78-7166-01A
84 years, male, white, stage:Stage IIB, dead, 258 days
76.5
TCGA-78-7537-01A
72 years, male, stage:Stage IB, dead, 1622 days
75.4
TCGA-55-A4DG-01A
71 years, male, white, stage:Stage IA, alive, 608 days
73.6
TCGA-49-AAR2-01A
64 years, male, black or african american, stage:Stage IB, alive, 2224 days
71.1
TCGA-L9-A443-01A
63 years, female, white, stage:Stage IA, dead, 193 days
70.0
TCGA-62-A46P-01A
65 years, male, white, stage:Stage IB, dead, 594 days
69.3
TCGA-49-4514-01A
79 years, female, white, stage:Stage IA, alive, 1700 days
68.8
TCGA-55-8508-01A
60 years, female, black or african american, stage:Stage IIA, alive, 617 days
64.3
TCGA-49-AARQ-01A
41 years, female, black or african american, stage:Stage I, alive, 6732 days
56.8
TCGA-55-8514-01A
70 years, female, black or african american, stage:Stage IB, alive, 520 days
56.4
TCGA-78-7535-01A
45 years, male, white, stage:Stage IB, dead, 949 days
54.4
TCGA-50-6597-01A
79 years, female, white, stage:Stage IB, dead, 1268 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PGAM1 is validated prognostic, high expression is unfavorable in Lung Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 4.51
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.000070
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
34%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
70%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
172.3
Number of samples
105
Samples
Sample
Description
TPM
L867
62 years, female, stage:Stage IIIA, dead, 317 days
337.9
L404
74 years, female, stage:Stage IIA, dead, 2318 days
330.2
L749
49 years, female, stage:Stage IIIA, dead, 189 days
327.6
L557
81 years, female, stage:Stage IB, alive, 2580 days
301.8
L746
64 years, female, stage:Stage IIIA, dead, 594 days
270.3
L766
59 years, male, stage:Stage IB, alive, 1793 days
266.1
L462
67 years, male, stage:Stage IIIA, dead, 568 days
260.3
L530
76 years, female, stage:Stage IIA, dead, 308 days
254.3
L599
80 years, male, stage:Stage IB, dead, 2083 days
249.2
L630
65 years, female, stage:Stage IA, dead, 1733 days
233.7
L458
76 years, female, stage:Stage IA, dead, 223 days
230.7
L616
54 years, male, stage:Stage IA, dead, 410 days
225.9
L621
79 years, female, stage:Stage IIIA, dead, 1487 days
218.8
L682
64 years, female, stage:Stage IIB, dead, 840 days
217.8
L613
72 years, male, stage:Stage IIIA, dead, 19 days
217.7
L728
77 years, male, stage:Stage IIB, dead, 1128 days
216.8
L561
62 years, female, stage:Stage IA, alive, 2543 days
216.6
L768
60 years, male, stage:Stage IIIA, dead, 472 days
215.1
L551
62 years, male, stage:Stage IA, alive, 2924 days
211.5
L890
56 years, female, stage:Stage IIB, dead, 1264 days
211.1
L703
71 years, male, stage:Stage IIA, dead, 1137 days
211.0
L543
65 years, male, stage:Stage IA, alive, 2711 days
209.4
L678
65 years, female, stage:Stage IB, dead, 1114 days
208.9
L688
57 years, male, stage:Stage IIIA, dead, 789 days
208.0
L872
71 years, female, stage:Stage IA, alive, 1793 days
203.2
L601
75 years, male, stage:Stage IB, dead, 2068 days
201.5
L532
69 years, female, stage:Stage IA, dead, 301 days
199.4
L887
77 years, male, stage:Stage IA, dead, 374 days
198.7
L802
62 years, female, stage:Stage IA, dead, 773 days
195.1
L413
72 years, female, stage:Stage IIIA, dead, 313 days
192.6
L828
68 years, female, stage:Stage IIB, alive, 2222 days
192.4
L773
64 years, female, stage:Stage IV, dead, 311 days
189.5
L619
68 years, female, stage:Stage IIIA, dead, 1905 days
189.1
L484
64 years, female, stage:Stage IA, alive, 2895 days
187.6
L617
68 years, male, stage:Stage IIIA, dead, 238 days
186.7
L778
65 years, female, stage:Stage IA, alive, 1600 days
184.7
L638
65 years, male, stage:Stage IA, alive, 2076 days
184.6
L689
69 years, male, stage:Stage IA, alive, 1943 days
184.4
L827
70 years, male, stage:Stage IIB, dead, 1105 days
183.9
L546
57 years, male, stage:Stage IA, dead, 973 days
180.9
L565
59 years, female, stage:Stage IB, dead, 543 days
179.5
L446
71 years, female, stage:Stage IIB, dead, 415 days
178.4
L663
62 years, female, stage:Stage IB, alive, 2018 days
176.6
L738
74 years, female, stage:Stage IB, dead, 1314 days
175.3
L871
74 years, male, stage:Stage IB, dead, 873 days
174.4
L569
76 years, female, stage:Stage IA, alive, 2531 days
173.8
L810
64 years, female, stage:Stage IIIA, dead, 625 days
173.7
L567
83 years, female, stage:Stage IIIA, dead, 1299 days
172.7
L620
70 years, female, stage:Stage IIIA, dead, 338 days
171.7
L808
48 years, female, stage:Stage IA, alive, 3001 days
169.6
L626
76 years, female, stage:Stage IA, dead, 1994 days
164.9
L531
74 years, male, stage:Stage IB, dead, 928 days
163.2
L504
65 years, female, stage:Stage IA, dead, 1295 days
163.2
L673
74 years, female, stage:Stage IA, dead, 568 days
160.1
L879
75 years, male, stage:Stage IV, dead, 873 days
158.5
L875
69 years, female, stage:Stage IA, alive, 1675 days
157.1
L400
78 years, male, stage:Stage IIA, dead, 1233 days
155.7
L656
58 years, male, stage:Stage IA, alive, 2227 days
154.8
L401
74 years, male, stage:Stage IIIA, dead, 1888 days
154.4
L662
66 years, male, stage:Stage IA, dead, 865 days
154.2
L865
75 years, female, stage:Stage IIB, alive, 1927 days
154.2
L545
60 years, female, stage:Stage IA, alive, 2874 days
152.7
L816
73 years, female, stage:Stage IIA, dead, 353 days
152.4
L885
62 years, female, stage:Stage IA, alive, 1618 days
149.5
L850
77 years, male, stage:Stage IIIA, dead, 997 days
147.9
L605
74 years, female, stage:Stage IA, alive, 2460 days
146.8
L593
78 years, male, stage:Stage IA, dead, 2436 days
145.7
L511
56 years, female, stage:Stage IIIA, alive, 2942 days
145.4
L455
52 years, female, stage:Stage IA, alive, 3315 days
144.7
L603
70 years, female, stage:Stage IB, dead, 972 days
144.7
L473
66 years, female, stage:Stage IA, alive, 3021 days
144.4
L880
75 years, female, stage:Stage IA, alive, 1767 days
143.7
L764
66 years, male, stage:Stage IIIA, alive, 1684 days
142.7
L873
62 years, female, stage:Stage IA, alive, 1740 days
142.0
L602
69 years, female, stage:Stage IA, alive, 2277 days
140.7
L877
70 years, female, stage:Stage IA, alive, 1599 days
140.5
L731
59 years, female, stage:Stage IA, dead, 964 days
139.3
L735
75 years, female, stage:Stage IA, alive, 1830 days
137.5
L752
65 years, male, stage:Stage IIIA, alive, 1647 days
137.1
L695
68 years, female, stage:Stage IB, dead, 1762 days
134.9
L541
70 years, female, stage:Stage IIIA, dead, 915 days
134.7
L566
58 years, male, stage:Stage IB, alive, 2489 days
134.2
L800
66 years, female, stage:Stage IA, dead, 2417 days
133.9
L710
72 years, female, stage:Stage IIA, alive, 1775 days
133.6
L585
70 years, female, stage:Stage IIA, dead, 402 days
132.2
L791
66 years, female, stage:Stage IIIA, dead, 368 days
130.5
L439
80 years, male, stage:Stage IIB, dead, 2773 days
130.3
L874
56 years, female, stage:Stage IIIA, alive, 1733 days
129.4
L832
65 years, female, stage:Stage IA, alive, 2145 days
128.9
L493
56 years, female, stage:Stage IIB, alive, 2945 days
125.4
L838
71 years, female, stage:Stage IA, dead, 1005 days
124.9
L612
80 years, female, stage:Stage IIIA, alive, 2410 days
124.8
L607
59 years, male, stage:Stage IB, alive, 2572 days
124.3
L782
73 years, female, stage:Stage IIB, alive, 3371 days
120.0
L606
55 years, male, stage:Stage IA, alive, 2336 days
118.5
L440
80 years, male, stage:Stage IIB, dead, 651 days
118.5
L683
77 years, female, stage:Stage IIA, dead, 612 days
113.8
L829
76 years, male, stage:Stage IA, alive, 2173 days
113.0
L842
62 years, female, stage:Stage IB, alive, 2005 days
110.9
L851
70 years, male, stage:Stage IB, dead, 1315 days
108.8
L826
45 years, female, stage:Stage IV, dead, 935 days
101.4
L725
64 years, female, stage:Stage IA, alive, 1830 days
100.3
L831
62 years, female, stage:Stage IB, alive, 2152 days
99.6
L596
74 years, female, stage:Stage IA, alive, 2319 days
97.5
L814
73 years, male, stage:Stage IIIA, alive, 2466 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PGAM1 is not prognostic in Lung Squamous Cell Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 1.81
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.095
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
41%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
50%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
322.9
Number of samples
489
Samples
Sample
Description
TPM
TCGA-98-A538-01A
67 years, male, white, stage:Stage IIB, alive, 826 days
1720.4
TCGA-85-7710-01A
59 years, female, white, stage:Stage IA, alive, 42 days
921.6
TCGA-60-2707-01A
70 years, male, stage:Stage IB, dead, 667 days
828.5
TCGA-60-2724-01A
47 years, male, white, stage:Stage IIIA, alive, 717 days
825.7
TCGA-56-7822-01A
75 years, male, black or african american, stage:Stage IIB, dead, 532 days
825.1
TCGA-34-5241-01A
79 years, male, white, stage:Stage IB, dead, 515 days
818.5
TCGA-66-2768-01A
57 years, male, stage:Stage IIB, alive, 61 days
800.1
TCGA-77-7337-01A
65 years, male, white, stage:Stage IIB, dead, 3253 days
765.7
TCGA-60-2723-01A
74 years, female, white, stage:Stage IB, alive, 1092 days
722.1
TCGA-33-4532-01A
68 years, male, white, stage:Stage IB, dead, 3924 days
696.7
TCGA-46-6025-01A
71 years, male, white, stage:Stage IIB, alive, 324 days
695.6
TCGA-66-2765-01A
64 years, male, stage:Stage IB, alive, 61 days
693.9
TCGA-43-7657-01A
68 years, female, white, stage:Stage IA, alive, 236 days
671.8
TCGA-NK-A5CX-01A
73 years, male, white, stage:Stage IIA, alive, 111 days
662.6
TCGA-94-A4VJ-01A
71 years, female, white, stage:Stage IA, alive, 430 days
651.0
TCGA-66-2766-01A
54 years, male, stage:Stage IIIA, alive, 31 days
649.0
TCGA-33-4583-01A
73 years, male, white, stage:Stage IA, dead, 4601 days
646.7
TCGA-22-5482-01A
81 years, male, white, stage:Stage IB, dead, 357 days
639.9
TCGA-52-7811-01A
67 years, male, white, stage:Stage IB, dead, 266 days
628.1
TCGA-92-8063-01A
52 years, male, white, stage:Stage IIIA, alive, 122 days
627.2
TCGA-43-6771-01A
85 years, male, white, stage:Stage IB, dead, 166 days
625.1
TCGA-22-4607-01A
75 years, male, white, stage:Stage IB, dead, 587 days
610.8
TCGA-66-2788-01A
56 years, male, stage:Stage IB, alive, 699 days
609.9
TCGA-18-3416-01A
83 years, male, stage:Stage IIB, dead, 973 days
607.4
TCGA-66-2778-01A
68 years, female, stage:Stage IIIB, alive, 578 days
592.1
TCGA-21-1079-01A
71 years, male, white, stage:Stage IIIA, dead, 965 days
592.0
TCGA-85-8582-01A
49 years, male, white, stage:Stage IA, alive, 1160 days
587.6
TCGA-60-2698-01A
62 years, male, white, stage:Stage IIB, dead, 311 days
580.4
TCGA-77-A5G1-01A
75 years, male, stage:Stage IIIA, alive, 4026 days
580.2
TCGA-66-2777-01A
71 years, male, stage:Stage IB, alive, 61 days
575.4
TCGA-43-6647-01A
69 years, female, white, stage:Stage IIB, alive, 757 days
567.9
TCGA-37-4141-01A
65 years, female, white, stage:Stage IA, alive, 12 days
564.7
TCGA-56-8504-01A
74 years, male, white, stage:Stage IB, alive, 510 days
557.5
TCGA-NC-A5HF-01A
74 years, male, white, stage:Stage IIIB, dead, 138 days
551.6
TCGA-66-2790-01A
72 years, male, stage:Stage IIB, alive, 699 days
551.0
TCGA-60-2708-01A
64 years, female, white, stage:Stage IIB, alive, 2447 days
550.7
TCGA-33-4589-01A
62 years, female, white, stage:Stage IIB, dead, 47 days
550.0
TCGA-22-1012-01A
80 years, female, white, stage:Stage IB, dead, 429 days
535.1
TCGA-77-6844-01A
74 years, male, white, stage:Stage IIIA, dead, 2284 days
533.9
TCGA-NK-A5CT-01A
70 years, male, white, stage:Stage IA, alive, 1997 days
521.1
TCGA-66-2734-01A
62 years, female, stage:Stage IB, alive, 1311 days
516.2
TCGA-18-3408-01A
77 years, female, white, stage:Stage IB, dead, 2304 days
515.4
TCGA-77-8146-01A
72 years, male, stage:Stage IA, alive, 3189 days
508.4
TCGA-77-8130-01A
69 years, male, stage:Stage IIB, alive, 4765 days
508.0
TCGA-39-5024-01A
65 years, female, white, stage:Stage IIIA, alive, 2510 days
503.3
TCGA-94-8490-01A
70 years, male, white, stage:Stage IIB, alive, 153 days
503.0
TCGA-58-A46N-01A
52 years, male, white, stage:Stage IB, alive, 910 days
502.9
TCGA-34-5928-01A
83 years, female, white, stage:Stage IIB, alive, 1196 days
500.9
TCGA-85-8666-01A
65 years, male, white, stage:Stage IB, dead, 687 days
499.1
TCGA-22-0944-01A
61 years, male, white, stage:Stage IB, dead, 223 days
498.8
TCGA-18-3409-01A
74 years, male, white, stage:Stage IA, alive, 3747 days
497.5
TCGA-63-A5MR-01A
70 years, female, stage:Stage IB, alive, 2716 days
493.6
TCGA-51-6867-01A
72 years, female, white, stage:Stage I, dead, 1856 days
493.6
TCGA-33-4582-01A
55 years, male, white, stage:Stage IA, dead, 3149 days
491.4
TCGA-94-A5I6-01A
62 years, male, white, stage:Stage IIB, alive, 538 days
488.1
TCGA-NC-A5HL-01A
73 years, male, white, stage:Stage IIA, dead, 88 days
486.6
TCGA-18-5595-01A
50 years, male, stage:Stage IB, dead, 827 days
486.4
TCGA-21-5782-01A
68 years, female, white, stage:Stage IB, dead, 962 days
484.7
TCGA-43-8118-01A
55 years, female, white, stage:Stage IA, dead, 89 days
484.6
TCGA-66-2780-01A
65 years, male, stage:Stage IB, dead, 366 days
483.3
TCGA-18-3417-01A
65 years, male, stage:Stage IV, dead, 1097 days
483.3
TCGA-21-1075-01A
57 years, male, white, stage:Stage IIB, alive, 2134 days
481.5
TCGA-94-7557-01A
73 years, male, black or african american, stage:Stage IB, dead, 5 days
480.7
TCGA-66-2753-01A
69 years, male, stage:Stage IB, alive, 31 days
479.3
TCGA-68-7756-01A
84 years, male, white, stage:Stage IIIA, alive, 202 days
471.9
TCGA-56-A5DR-01A
81 years, male, white, stage:Stage IA, alive, 4 days
469.4
TCGA-66-2794-01A
64 years, male, stage:Stage IIIB, alive, 1645 days
468.2
TCGA-85-8481-01A
70 years, male, white, stage:Stage IIB, dead, 236 days
467.5
TCGA-90-7769-01A
55 years, male, white, stage:Stage IIB, alive, 358 days
464.7
TCGA-39-5029-01A
67 years, male, white, stage:Stage IIIA, dead, 740 days
462.2
TCGA-92-7341-01A
71 years, male, white, stage:Stage IB, alive, 106 days
460.0
TCGA-77-8007-01A
68 years, male, stage:Stage IIB, dead, 198 days
457.1
TCGA-18-3414-01A
73 years, male, asian, stage:Stage IV, dead, 716 days
453.7
TCGA-63-A5MY-01A
63 years, male, stage:Stage IA, alive, 1052 days
452.3
TCGA-60-2706-01A
58 years, male, white, stage:Stage IA, alive, 2820 days
450.0
TCGA-33-AASD-01A
83 years, male, black or african american, stage:Stage IA, dead, 2249 days
449.2
TCGA-56-7222-01A
60 years, male, white, stage:Stage IB, dead, 562 days
448.9
TCGA-66-2781-01A
67 years, male, stage:Stage IB, alive, 121 days
446.2
TCGA-77-7463-01A
75 years, male, white, stage:Stage IB, dead, 1423 days
443.8
TCGA-22-0940-01A
71 years, male, white, stage:Stage IIA, dead, 669 days
439.6
TCGA-56-A4ZJ-01A
75 years, female, white, stage:Stage IA, alive, 640 days
439.3
TCGA-58-8393-01A
68 years, female, white, stage:Stage IB, alive, 1058 days
437.3
TCGA-85-8288-01A
70 years, male, white, stage:Stage IIA, dead, 402 days
436.9
TCGA-77-7338-01A
64 years, male, white, stage:Stage IB, dead, 5 days
434.5
TCGA-22-5492-01A
73 years, female, stage:Stage IIIA, dead, 506 days
431.8
TCGA-21-5786-01A
64 years, male, white, stage:Stage IB, alive, 1032 days
431.6
TCGA-22-5472-01A
67 years, male, white, stage:Stage IB, dead, 1975 days
429.2
TCGA-85-8664-01A
73 years, male, white, stage:Stage IIB, dead, 550 days
428.7
TCGA-18-4086-01A
64 years, male, stage:Stage IB, dead, 85 days
428.5
TCGA-21-1071-01A
67 years, male, white, stage:Stage IB, dead, 1426 days
425.8
TCGA-58-8391-01A
57 years, female, white, stage:Stage IIIA, alive, 2167 days
425.4
TCGA-22-5491-01A
74 years, male, white, stage:Stage IA, dead, 1713 days
423.1
TCGA-77-8154-01A
67 years, male, stage:Stage IA, alive, 1841 days
422.9
TCGA-77-8145-01A
73 years, male, stage:Stage IIIB, dead, 212 days
422.3
TCGA-70-6723-01A
65 years, male, asian, stage:Stage IIA, alive, 375 days
422.1
TCGA-98-A53B-01A
69 years, male, white, stage:Stage IB, dead, 61 days
421.8
TCGA-58-A46K-01A
59 years, male, white, stage:Stage IIIA, dead, 1045 days
419.9
TCGA-66-2755-01A
63 years, male, stage:Stage IB, alive, 28 days
419.3
TCGA-66-2773-01A
69 years, male, stage:Stage IB, dead, 92 days
417.9
TCGA-85-8052-01A
53 years, male, white, stage:Stage IIB, alive, 734 days
417.0
TCGA-56-8626-01A
59 years, male, white, stage:Stage IA, dead, 302 days
415.2
TCGA-98-A539-01A
63 years, male, white, stage:Stage IIB, alive, 173 days
413.6
TCGA-34-8454-01A
62 years, female, white, stage:Stage IIIA, alive, 1180 days
413.5
TCGA-85-7843-01A
50 years, male, white, stage:Stage IIA, alive, 35 days
411.5
TCGA-85-6798-01A
57 years, male, white, stage:Stage IIIA, dead, 195 days
410.6
TCGA-77-8136-01A
74 years, female, stage:Stage IIB, dead, 1189 days
409.7
TCGA-37-4133-01A
63 years, male, white, stage:Stage IIIA, alive, 238 days
408.5
TCGA-52-7810-01A
60 years, female, white, stage:Stage IIB, alive, 923 days
408.0
TCGA-43-6143-01A
70 years, male, white, stage:Stage IB, alive, 699 days
406.4
TCGA-66-2769-01A
75 years, male, stage:Stage IIIB, dead, 215 days
404.8
TCGA-34-8455-01A
67 years, male, white, stage:Stage IV, dead, 123 days
404.2
TCGA-43-3394-01A
52 years, male, black or african american, stage:Stage IB, dead, 1190 days
404.1
TCGA-21-A5DI-01A
77 years, male, white, stage:Stage IA, alive, 979 days
403.8
TCGA-77-8128-01A
60 years, male, stage:Stage IIIA, dead, 1150 days
403.0
TCGA-68-7755-01A
60 years, female, white, stage:Stage IIA, alive, 83 days
402.5
TCGA-22-A5C4-01A
70 years, male, white, stage:Stage IIA, alive, 671 days
402.0
TCGA-34-5236-01A
60 years, male, white, stage:Stage IIB, dead, 276 days
400.9
TCGA-33-A4WN-01A
60 years, male, white, stage:Stage IB, dead, 143 days
400.7
TCGA-O2-A52S-01A
57 years, female, white, stage:Stage III, dead, 387 days
398.5
TCGA-43-5670-01A
70 years, male, white, stage:Stage IIA, alive, 849 days
397.8
TCGA-NC-A5HN-01A
77 years, male, white, stage:Stage IIA, alive, 1499 days
397.4
TCGA-66-2792-01A
58 years, male, stage:Stage IIB, alive, 913 days
396.4
TCGA-60-2722-01A
66 years, male, white, stage:Stage IIB, alive, 908 days
396.4
TCGA-21-1072-01A
75 years, male, white, stage:Stage IB, alive, 3016 days
395.5
TCGA-66-2783-01A
67 years, male, stage:Stage IIIB, alive, 759 days
395.3
TCGA-85-8071-01A
52 years, male, white, stage:Stage IIA, alive, 815 days
395.2
TCGA-85-7697-01A
49 years, male, white, stage:Stage IIB, alive, 1063 days
395.0
TCGA-56-8503-01A
76 years, female, white, stage:Stage IIB, alive, 41 days
394.4
TCGA-63-A5ML-01A
68 years, male, stage:Stage IB, alive, 1386 days
393.9
TCGA-77-8008-01A
68 years, male, stage:Stage IB, dead, 2639 days
393.9
TCGA-77-7138-01A
67 years, male, stage:Stage IB, dead, 340 days
392.7
TCGA-66-2771-01A
60 years, male, stage:Stage IIB, alive, 578 days
392.4
TCGA-77-8138-01A
74 years, male, stage:Stage IB, dead, 539 days
392.2
TCGA-63-A5MJ-01A
54 years, male, stage:Stage IIB, alive, 1824 days
392.1
TCGA-58-A46L-01A
73 years, male, white, stage:Stage IIIA, alive, 1723 days
392.0
TCGA-21-1078-01A
77 years, male, white, stage:Stage IB, dead, 474 days
391.9
TCGA-85-8072-01A
60 years, male, white, stage:Stage IA, alive, 932 days
391.0
TCGA-21-5783-01A
76 years, male, white, stage:Stage IB, dead, 2680 days
390.6
TCGA-37-A5EL-01A
53 years, male, white, stage:Stage IIB, dead, 1143 days
390.1
TCGA-NC-A5HP-01A
69 years, male, white, stage:Stage IV, dead, 770 days
389.6
TCGA-60-2714-01A
66 years, female, white, stage:Stage IIB, alive, 1531 days
389.1
TCGA-96-7544-01A
83 years, male, white, stage:Stage IIB, dead, 2160 days
386.1
TCGA-22-5478-01A
79 years, male, stage:Stage IB, dead, 24 days
385.0
TCGA-85-8277-01A
70 years, male, white, stage:Stage IIIA, dead, 307 days
384.4
TCGA-66-2791-01A
66 years, male, stage:Stage IIIB, dead, 153 days
380.6
TCGA-O2-A52Q-01A
44 years, female, white, stage:Stage III, dead, 113 days
379.0
TCGA-68-A59I-01A
73 years, female, black or african american, stage:Stage IIIA, alive, 492 days
378.1
TCGA-34-5232-01A
75 years, female, black or african american, stage:Stage IIA, alive, 2471 days
377.5
TCGA-77-8143-01A
76 years, male, stage:Stage IIIA, dead, 803 days
376.9
TCGA-77-6845-01A
69 years, male, white, stage:Stage IIB, dead, 708 days
376.5
TCGA-43-A474-01A
66 years, male, white, stage:Stage IIA, alive, 353 days
376.3
TCGA-66-2786-01A
68 years, female, stage:Stage IA, alive, 790 days
373.9
TCGA-58-8386-01A
75 years, male, stage:Stage IV, dead, 1 days
373.5
TCGA-60-2716-01A
39 years, male, stage:Stage IIB, alive, 1475 days
373.5
TCGA-56-6545-01A
77 years, female, white, stage:Stage IB, alive, 666 days
372.5
TCGA-66-2759-01A
66 years, male, stage:Stage IIIA, alive, 762 days
372.4
TCGA-85-6560-01A
59 years, male, white, stage:Stage IIA, alive, 1259 days
371.6
TCGA-22-4601-01A
73 years, female, white, stage:Stage IIIA, dead, 1057 days
370.8
TCGA-56-8304-01A
73 years, female, white, stage:Stage IA, alive, 106 days
369.8
TCGA-56-8201-01A
74 years, male, white, stage:Stage IIB, dead, 397 days
369.2
TCGA-22-4593-01A
77 years, male, white, stage:Stage IIA, dead, 1067 days
369.2
TCGA-18-3421-01A
65 years, male, white, stage:Stage IB, alive, 2645 days
368.9
TCGA-33-4547-01A
68 years, male, white, stage:Stage IB, alive, 2419 days
368.2
TCGA-43-6770-01A
59 years, female, black or african american, stage:Stage IB, alive, 653 days
366.1
TCGA-NC-A5HG-01A
59 years, male, white, stage:Stage IIIA, alive, 1963 days
365.6
TCGA-33-4586-01A
57 years, male, white, stage:Stage IIIA, dead, 428 days
365.0
TCGA-18-5592-01A
57 years, male, stage:Stage IIB, alive, 1519 days
364.6
TCGA-39-5028-01A
75 years, male, white, stage:Stage IIIA, dead, 52 days
363.3
TCGA-18-3419-01A
73 years, male, stage:Stage IIB, alive, 2811 days
362.4
TCGA-37-3789-01A
65 years, male, white, stage:Stage IB, alive, 13 days
361.7
TCGA-21-5784-01A
80 years, female, white, stage:Stage IB, alive, 1268 days
361.1
TCGA-60-2696-01A
76 years, female, black or african american, stage:Stage IIA, dead, 109 days
361.1
TCGA-56-8622-01A
68 years, male, white, stage:Stage IB, alive, 55 days
360.4
TCGA-O2-A52N-01A
78 years, male, white, stage:Stage I, dead, 1006 days
358.9
TCGA-NC-A5HM-01A
76 years, male, white, stage:Stage IB, alive, 1212 days
358.5
TCGA-51-4081-01A
55 years, male, white, stage:Stage IIB, alive, 911 days
355.0
TCGA-22-5473-01A
78 years, male, white, stage:'--, dead, 1933 days
354.9
TCGA-37-4132-01A
61 years, female, white, stage:Stage IV, alive, 227 days
354.8
TCGA-51-4079-01A
73 years, female, black or african american, stage:Stage IB, dead, 12 days
353.5
TCGA-22-4595-01A
57 years, male, white, stage:Stage IIIA, dead, 734 days
353.5
TCGA-22-4605-01A
78 years, female, stage:Stage IB, dead, 974 days
352.1
TCGA-34-2596-01A
70 years, male, white, stage:Stage IIB, dead, 80 days
351.5
TCGA-39-5019-01A
70 years, male, white, stage:Stage IB, alive, 3387 days
351.4
TCGA-39-5036-01A
73 years, male, white, stage:Stage IB, alive, 2165 days
351.2
TCGA-18-3412-01A
52 years, male, white, stage:Stage IB, dead, 345 days
349.6
TCGA-52-7812-01A
68 years, male, white, stage:'--, dead, 835 days
349.6
TCGA-56-7579-01A
61 years, male, white, stage:Stage IIIA, dead, 951 days
348.4
TCGA-66-2754-01A
67 years, male, stage:Stage IIIA, alive, 61 days
347.8
TCGA-33-4566-01A
40 years, male, white, stage:Stage IB, dead, 5287 days
347.6
TCGA-77-8144-01A
70 years, male, stage:Stage IB, alive, 833 days
347.2
TCGA-21-1070-01A
60 years, female, black or african american, stage:Stage IIIA, alive, 3636 days
346.7
TCGA-66-2737-01A
72 years, male, stage:Stage IIB, alive, 61 days
343.8
TCGA-34-5240-01A
73 years, female, white, stage:Stage IIB, alive, 1541 days
341.7
TCGA-90-7964-01A
70 years, male, white, stage:Stage IB, alive, 428 days
341.3
TCGA-66-2795-01A
68 years, male, stage:Stage IIIB, alive, 122 days
340.2
TCGA-85-7844-01A
71 years, male, white, stage:Stage IB, alive, 911 days
338.6
TCGA-22-5474-01A
74 years, male, white, stage:Stage IB, dead, 445 days
338.1
TCGA-85-7698-01A
48 years, male, white, stage:Stage IA, alive, 952 days
337.8
TCGA-94-8491-01A
73 years, male, white, stage:Stage IIA, alive, 810 days
337.3
TCGA-85-8351-01A
72 years, male, white, stage:Stage IIA, alive, 510 days
336.7
TCGA-66-2800-01A
70 years, male, stage:Stage IIIB, alive, 1492 days
336.1
TCGA-85-8352-01A
67 years, male, white, stage:Stage IIIA, dead, 161 days
336.0
TCGA-63-6202-01A
male, stage:Stage IIA, alive, 1602 days
335.6
TCGA-39-5039-01A
76 years, male, white, stage:Stage IIA, dead, 544 days
335.4
TCGA-46-3768-01A
58 years, male, white, stage:Stage IIIA, dead, 299 days
332.2
TCGA-33-4533-01A
76 years, female, black or african american, stage:Stage IB, alive, 4068 days
330.3
TCGA-22-1017-01A
62 years, male, white, stage:Stage IA, dead, 1485 days
330.0
TCGA-37-3783-01A
51 years, male, white, stage:Stage IIIA, alive, 122 days
327.4
TCGA-63-A5MM-01A
69 years, female, stage:Stage IIB, dead, 456 days
327.4
TCGA-63-7020-01A
male, stage:Stage IA, alive, 2133 days
326.0
TCGA-66-2742-01A
70 years, male, stage:Stage IV, alive, 641 days
326.0
TCGA-66-2744-01A
71 years, male, stage:Stage IIB, alive, 30 days
324.8
TCGA-60-2711-01A
64 years, female, white, stage:Stage IB, alive, 1260 days
323.5
TCGA-33-AASJ-01A
60 years, male, black or african american, stage:Stage IB, dead, 3600 days
322.3
TCGA-96-7545-01A
73 years, male, white, stage:Stage IA, dead, 1736 days
321.6
TCGA-96-8169-01A
67 years, female, white, stage:Stage IA, alive, 557 days
320.8
TCGA-60-2713-01A
64 years, male, white, stage:Stage IB, alive, 1731 days
317.6
TCGA-66-2782-01A
71 years, male, stage:Stage IIB, dead, 365 days
317.5
TCGA-22-4591-01A
80 years, male, white, stage:Stage IIIA, dead, 623 days
317.1
TCGA-56-5898-01A
69 years, male, white, stage:Stage IA, alive, 555 days
316.2
TCGA-85-A4QR-01A
67 years, male, white, stage:Stage IB, alive, 600 days
314.4
TCGA-56-8624-01A
84 years, male, white, stage:Stage IIB, alive, 420 days
314.4
TCGA-77-8153-01A
77 years, female, stage:Stage IB, alive, 1992 days
314.1
TCGA-22-5471-01A
75 years, male, white, stage:Stage IB, alive, 1845 days
313.9
TCGA-98-8020-01A
56 years, female, black or african american, stage:Stage IIIA, dead, 84 days
313.5
TCGA-56-A4ZK-01A
76 years, female, white, stage:Stage IB, alive, 570 days
313.3
TCGA-77-6842-01A
79 years, male, white, stage:Stage IIB, dead, 899 days
312.7
TCGA-46-3767-01A
76 years, male, white, stage:Stage IA, alive, 396 days
311.2
TCGA-22-5485-01A
58 years, female, white, stage:Stage IA, dead, 916 days
310.2
TCGA-58-8392-01A
70 years, male, white, stage:Stage IB, dead, 501 days
308.9
TCGA-85-8350-01A
61 years, male, white, stage:Stage IA, alive, 683 days
308.0
TCGA-NC-A5HE-01A
60 years, male, white, stage:Stage IIB, alive, 2336 days
307.9
TCGA-85-A4CN-01A
56 years, female, white, stage:Stage IIB, alive, 1038 days
307.2
TCGA-21-1077-01A
64 years, male, white, stage:Stage IIB, dead, 1058 days
306.0
TCGA-21-1083-01A
75 years, male, white, stage:Stage IA, dead, 1315 days
305.4
TCGA-63-A5MP-01A
56 years, male, stage:Stage IIB, alive, 769 days
305.3
TCGA-70-6722-01A
47 years, male, asian, stage:Stage IIIA, alive, 367 days
305.3
TCGA-O2-A52V-01A
75 years, female, black or african american, stage:Stage II, dead, 1335 days
303.5
TCGA-66-2758-01A
71 years, male, stage:Stage IB, alive, 639 days
301.6
TCGA-LA-A446-01A
68 years, male, white, stage:Stage IA, alive, 401 days
301.3
TCGA-NC-A5HK-01A
58 years, female, white, stage:Stage IIB, alive, 128 days
299.5
TCGA-NK-A5D1-01A
57 years, male, white, stage:Stage IIA, alive, 511 days
299.5
TCGA-85-A512-01A
46 years, male, white, stage:Stage IIA, alive, 465 days
298.7
TCGA-63-7023-01A
male, stage:Stage IIA, alive, 1682 days
297.7
TCGA-77-A5G6-01A
66 years, male, stage:Stage IIIA, dead, 678 days
295.2
TCGA-66-2763-01A
63 years, female, stage:Stage IB, alive, 30 days
295.0
TCGA-18-3411-01A
63 years, female, stage:Stage IIIA, alive, 3576 days
294.5
TCGA-77-7141-01A
64 years, male, white, stage:Stage IB, alive, 15 days
294.2
TCGA-77-A5GF-01A
70 years, male, stage:Stage IIA, dead, 840 days
293.6
TCGA-85-A50Z-01A
57 years, male, white, stage:Stage IIA, alive, 493 days
293.3
TCGA-MF-A522-01A
54 years, male, white, stage:Stage IB, dead, 360 days
292.7
TCGA-60-2719-01A
83 years, female, white, stage:Stage IB, alive, 1297 days
290.5
TCGA-77-8009-01A
68 years, male, stage:Stage IIB, dead, 1695 days
289.5
TCGA-56-A49D-01A
67 years, male, white, stage:Stage IIIA, alive, 637 days
289.3
TCGA-85-8070-01A
71 years, male, white, stage:Stage IB, alive, 960 days
289.1
TCGA-56-7582-01A
83 years, male, white, stage:Stage IB, alive, 601 days
288.0
TCGA-68-A59J-01A
74 years, female, white, stage:Stage IB, alive, 448 days
286.9
TCGA-85-A511-01A
62 years, male, white, stage:Stage IIB, dead, 455 days
286.7
TCGA-39-5037-01A
65 years, male, white, stage:Stage IIA, alive, 1690 days
285.3
TCGA-22-1002-01A
69 years, male, white, stage:Stage IA, dead, 131 days
284.8
TCGA-77-7142-01A
59 years, female, white, stage:Stage IB, alive, 2227 days
283.5
TCGA-56-7731-01A
66 years, female, white, stage:Stage IB, dead, 3 days
283.4
TCGA-37-4129-01A
52 years, female, white, stage:Stage IA, alive, 242 days
282.7
TCGA-43-8115-01A
72 years, female, white, stage:Stage IIA, alive, 407 days
282.3
TCGA-56-1622-01A
58 years, male, white, stage:Stage IB, dead, 881 days
279.9
TCGA-NC-A5HI-01A
68 years, female, white, stage:Stage IB, alive, 1743 days
279.9
TCGA-58-8390-01A
70 years, male, white, stage:Stage IIA, alive, 911 days
279.4
TCGA-NC-A5HD-01A
79 years, male, white, stage:Stage IIB, dead, 2 days
279.4
TCGA-66-2787-01A
57 years, male, stage:Stage IA, alive, 1217 days
279.1
TCGA-22-4604-01A
73 years, male, white, stage:Stage IIA, dead, 399 days
278.9
TCGA-18-4721-01A
74 years, male, white, stage:Stage IA, alive, 4694 days
278.8
TCGA-90-7767-01A
56 years, male, white, stage:Stage IIB, alive, 89 days
278.6
TCGA-56-A4BW-01A
55 years, male, white, stage:Stage IIA, alive, 585 days
278.0
TCGA-56-5897-01A
74 years, male, white, stage:Stage IA, alive, 378 days
275.6
TCGA-66-2789-01A
73 years, male, stage:Stage IIIB, dead, 123 days
275.1
TCGA-33-AASI-01A
65 years, female, black or african american, stage:Stage IIB, dead, 1344 days
274.7
TCGA-56-A5DS-01A
72 years, female, white, stage:Stage IB, alive, 8 days
274.4
TCGA-77-8139-01A
72 years, male, stage:Stage IIB, alive, 3166 days
274.0
TCGA-46-3766-01A
62 years, female, white, stage:Stage IA, alive, 370 days
273.9
TCGA-94-7033-01A
73 years, male, white, stage:Stage IB, alive, 640 days
272.8
TCGA-56-8625-01A
66 years, female, white, stage:Stage IIIA, dead, 315 days
271.7
TCGA-L3-A4E7-01A
71 years, male, white, stage:Stage IB, alive, 392 days
270.9
TCGA-56-8629-01A
63 years, male, white, stage:Stage IIA, alive, 481 days
270.8
TCGA-94-8035-01A
64 years, male, white, stage:Stage IIB, alive, 122 days
270.4
TCGA-85-8354-01A
53 years, male, white, stage:Stage IB, alive, 995 days
269.4
TCGA-85-6175-01A
63 years, female, white, stage:Stage IIB, dead, 294 days
268.3
TCGA-18-3407-01A
72 years, male, asian, stage:Stage IB, dead, 136 days
268.2
TCGA-34-7107-01A
70 years, male, white, stage:Stage II, dead, 34 days
268.1
TCGA-NC-A5HQ-01A
70 years, male, white, stage:Stage IIIA, dead, 448 days
267.5
TCGA-77-8131-01A
72 years, male, stage:Stage IB, dead, 383 days
265.5
TCGA-18-3406-01A
67 years, male, white, stage:Stage IA, dead, 371 days
265.0
TCGA-33-4587-01A
63 years, female, white, stage:Stage IB, dead, 1656 days
264.7
TCGA-58-A46J-01A
64 years, male, white, stage:Stage IIB, alive, 2589 days
264.3
TCGA-56-8305-01A
72 years, male, white, stage:Stage IB, alive, 105 days
264.1
TCGA-56-A62T-01A
78 years, male, black or african american, stage:Stage IIA, alive, 440 days
263.5
TCGA-85-7950-01A
46 years, male, white, stage:Stage IB, alive, 576 days
263.1
TCGA-56-7221-01A
79 years, male, white, stage:Stage IB, alive, 608 days
262.0
TCGA-90-6837-01A
64 years, male, white, stage:Stage IIB, alive, 758 days
261.9
TCGA-43-2581-01A
47 years, female, white, stage:Stage IIIA, alive, 1176 days
261.5
TCGA-33-AAS8-01A
59 years, female, black or african american, stage:Stage IA, dead, 1114 days
260.9
TCGA-85-8353-01A
72 years, male, white, stage:Stage IIIA, dead, 94 days
259.3
TCGA-43-A56V-01A
61 years, male, black or african american, stage:Stage IIIA, alive, 366 days
258.7
TCGA-34-2608-01A
84 years, male, white, stage:Stage IB, dead, 1000 days
258.1
TCGA-58-A46M-01A
61 years, male, white, stage:Stage IIB, alive, 1072 days
256.8
TCGA-39-5021-01A
70 years, male, white, stage:Stage IB, dead, 2086 days
256.4
TCGA-NC-A5HH-01A
53 years, male, white, stage:Stage IA, alive, 37 days
256.3
TCGA-66-2770-01A
79 years, male, stage:Stage IB, alive, 700 days
255.4
TCGA-77-A5GA-01A
76 years, male, stage:Stage IB, alive, 1280 days
253.5
TCGA-21-1076-01A
54 years, female, white, stage:Stage IB, alive, 1852 days
253.2
TCGA-85-8479-01A
66 years, male, white, stage:Stage IA, alive, 468 days
252.5
TCGA-22-4599-01A
73 years, female, white, stage:Stage IB, dead, 1161 days
252.3
TCGA-63-A5MH-01A
68 years, male, stage:Stage IA, alive, 2026 days
251.8
TCGA-56-A4BY-01A
66 years, male, white, stage:Stage IB, dead, 543 days
251.6
TCGA-85-A4QQ-01A
68 years, male, white, stage:Stage IB, dead, 927 days
251.5
TCGA-22-5483-01A
74 years, male, white, stage:Stage IIA, dead, 573 days
250.8
TCGA-92-7340-01A
45 years, female, white, stage:Stage IIA, alive, 82 days
250.4
TCGA-37-3792-01A
69 years, male, white, stage:Stage IB, alive, 12 days
246.7
TCGA-39-5031-01A
76 years, female, stage:Stage IA, dead, 1841 days
246.6
TCGA-37-A5EM-01A
49 years, male, white, stage:Stage II, alive, 867 days
246.4
TCGA-22-4609-01A
81 years, male, white, stage:Stage IA, dead, 291 days
245.6
TCGA-66-2793-01A
68 years, male, stage:Stage IIIB, dead, 306 days
245.6
TCGA-NK-A7XE-01A
66 years, male, black or african american, stage:Stage IIIB, alive, 13 days
244.8
TCGA-22-1016-01A
65 years, male, white, stage:Stage IB, dead, 822 days
244.1
TCGA-77-8148-01A
68 years, male, stage:Stage IIIA, alive, 2023 days
243.7
TCGA-21-1080-01A
66 years, male, white, stage:Stage IB, alive, 3724 days
243.6
TCGA-90-7766-01A
66 years, female, white, stage:Stage IA, alive, 289 days
241.3
TCGA-63-A5MN-01A
78 years, female, stage:Stage IIB, dead, 345 days
241.2
TCGA-60-2715-01A
51 years, male, white, stage:Stage IA, dead, 1075 days
241.2
TCGA-56-8083-01A
56 years, male, white, stage:Stage IB, alive, 150 days
240.8
TCGA-90-A4EE-01A
53 years, male, white, stage:Stage IIA, alive, 688 days
240.5
TCGA-L3-A524-01A
45 years, female, white, stage:Stage IIB, dead, 490 days
239.9
TCGA-63-A5MI-01A
65 years, male, stage:Stage IIIA, alive, 1784 days
239.4
TCGA-60-2725-01A
74 years, male, white, stage:Stage IB, alive, 816 days
239.3
TCGA-77-7140-01A
69 years, female, white, stage:Stage IIB, dead, 632 days
238.7
TCGA-56-8308-01A
79 years, male, white, stage:Stage IIB, alive, 517 days
238.3
TCGA-77-8150-01A
64 years, male, stage:Stage IIIA, dead, 1655 days
236.5
TCGA-34-8456-01A
71 years, female, white, stage:Stage IIA, alive, 804 days
236.3
TCGA-56-8082-01A
80 years, female, white, stage:Stage IIA, alive, 455 days
236.0
TCGA-98-A53J-01A
77 years, male, white, stage:Stage IB, alive, 630 days
235.1
TCGA-60-2721-01A
73 years, male, white, stage:Stage IB, alive, 983 days
234.4
TCGA-39-5011-01A
70 years, female, white, stage:Stage IA, alive, 4053 days
233.3
TCGA-98-A53I-01A
64 years, male, white, stage:Stage IIA, alive, 565 days
232.7
TCGA-22-4596-01A
69 years, female, white, stage:Stage IB, dead, 17 days
232.1
TCGA-33-4538-01A
66 years, male, white, stage:Stage IIIA, dead, 2979 days
232.0
TCGA-68-8250-01A
66 years, male, black or african american, stage:Stage IA, alive, 244 days
230.6
TCGA-34-5234-01A
71 years, female, white, stage:Stage IA, alive, 2271 days
230.3
TCGA-60-2710-01A
67 years, female, white, stage:Stage IIA, alive, 2024 days
228.3
TCGA-22-5479-01A
64 years, male, white, stage:Stage IB, dead, 2625 days
228.2
TCGA-21-5787-01A
65 years, male, black or african american, stage:Stage IIIA, dead, 329 days
226.7
TCGA-43-2578-01A
59 years, female, white, stage:Stage IA, dead, 684 days
226.7
TCGA-85-A4JC-01A
84 years, male, white, stage:Stage IIA, dead, 604 days
225.9
TCGA-77-7139-01A
56 years, male, white, stage:Stage IIB, alive, 4261 days
225.7
TCGA-77-8156-01A
60 years, male, stage:Stage IB, alive, 1106 days
225.0
TCGA-56-7580-01A
84 years, male, white, stage:Stage IB, alive, 925 days
224.9
TCGA-NK-A5CR-01A
77 years, male, stage:Stage IB, alive, 2542 days
224.7
TCGA-33-A5GW-01A
67 years, male, white, stage:Stage IIA, dead, 9 days
224.5
TCGA-94-7943-01A
80 years, male, white, stage:Stage IA, alive, 559 days
223.7
TCGA-77-7335-01A
62 years, female, white, stage:Stage IIIB, dead, 2133 days
223.6
TCGA-85-6561-01A
66 years, male, white, stage:Stage IB, alive, 1224 days
223.4
TCGA-77-A5GH-01A
81 years, male, stage:Stage IB, alive, 1182 days
221.4
TCGA-77-A5G3-01A
63 years, male, stage:Stage IIB, alive, 4570 days
220.8
TCGA-68-8251-01A
78 years, male, white, stage:Stage IB, alive, 406 days
220.4
TCGA-58-8387-01A
60 years, male, white, stage:Stage IIA, dead, 403 days
219.4
TCGA-43-7658-01A
75 years, female, white, stage:Stage IA, dead, 2378 days
218.8
TCGA-77-8133-01A
74 years, male, stage:Stage IIA, dead, 1640 days
218.4
TCGA-22-5477-01A
65 years, male, white, stage:Stage IA, dead, 1346 days
217.8
TCGA-85-A4JB-01A
74 years, male, white, stage:Stage IIB, alive, 942 days
217.8
TCGA-63-A5MV-01A
69 years, male, stage:Stage IIA, alive, 1100 days
217.6
TCGA-43-3920-01A
71 years, male, white, stage:Stage IB, alive, 1007 days
217.5
TCGA-56-7223-01A
66 years, male, white, stage:Stage IIIA, dead, 442 days
216.5
TCGA-85-8048-01A
62 years, male, white, stage:Stage IA, alive, 765 days
214.9
TCGA-85-8276-01A
62 years, male, white, stage:Stage IIA, alive, 1050 days
212.8
TCGA-98-8021-01A
75 years, female, white, stage:Stage IA, alive, 937 days
212.6
TCGA-46-3765-01A
59 years, female, white, stage:Stage IA, alive, 405 days
212.1
TCGA-63-A5MT-01A
74 years, male, stage:Stage IIB, alive, 498 days
211.2
TCGA-43-A475-01A
67 years, female, white, stage:Stage IIB, alive, 296 days
210.7
TCGA-85-A510-01A
74 years, female, white, stage:Stage IIB, alive, 482 days
210.6
TCGA-66-2727-01A
55 years, female, stage:Stage IB, dead, 516 days
210.3
TCGA-85-8580-01A
52 years, female, white, stage:Stage IB, alive, 1113 days
209.7
TCGA-22-5481-01A
72 years, female, white, stage:Stage IIB, dead, 2409 days
208.7
TCGA-39-5016-01A
44 years, male, white, stage:Stage IIA, alive, 3850 days
208.2
TCGA-60-2704-01A
73 years, male, white, stage:Stage IIB, dead, 1154 days
207.8
TCGA-56-A4BX-01A
70 years, male, white, stage:Stage IIA, alive, 405 days
206.3
TCGA-18-3410-01A
81 years, male, stage:Stage IIB, dead, 146 days
206.2
TCGA-33-AASB-01A
66 years, male, black or african american, stage:Stage IB, dead, 211 days
205.8
TCGA-52-7622-01A
62 years, female, white, stage:Stage IA, alive, 862 days
204.7
TCGA-37-A5EN-01A
59 years, male, white, stage:Stage IIIB, alive, 660 days
204.3
TCGA-34-5239-01A
75 years, male, white, stage:Stage IIIA, alive, 1834 days
204.2
TCGA-34-5231-01A
72 years, male, white, stage:Stage IA, dead, 1984 days
203.1
TCGA-22-4613-01A
73 years, female, white, stage:Stage IA, dead, 358 days
202.9
TCGA-98-7454-01A
73 years, male, white, stage:Stage IB, alive, 652 days
202.3
TCGA-85-7696-01A
64 years, male, white, stage:Stage IA, alive, 1111 days
201.6
TCGA-XC-AA0X-01A
77 years, female, black or african american, stage:Stage IA, dead, 6 days
200.6
TCGA-85-A50M-01A
47 years, male, asian, stage:Stage IIA, dead, 826 days
198.9
TCGA-85-7699-01A
73 years, male, white, stage:Stage IIIA, dead, 1001 days
197.9
TCGA-34-5927-01A
70 years, female, white, stage:Stage IA, alive, 1361 days
197.8
TCGA-56-8309-01A
66 years, male, white, stage:Stage IA, alive, 428 days
197.5
TCGA-66-2767-01A
62 years, male, stage:Stage IIIB, alive, 61 days
197.1
TCGA-39-5035-01A
72 years, female, white, stage:Stage IA, alive, 2080 days
196.9
TCGA-66-2785-01A
65 years, male, stage:Stage IB, alive, 60 days
195.8
TCGA-60-2720-01A
60 years, female, white, stage:Stage IB, alive, 97 days
194.8
TCGA-85-A53L-01A
63 years, male, asian, stage:Stage IIA, alive, 377 days
194.3
TCGA-33-6738-01A
80 years, male, white, stage:Stage IIIA, alive, 1927 days
194.3
TCGA-85-8049-01A
57 years, male, white, stage:Stage IB, alive, 579 days
193.5
TCGA-22-1000-01A
76 years, male, white, stage:Stage IB, dead, 454 days
193.0
TCGA-66-2756-01A
68 years, male, stage:Stage IIIB, alive, 30 days
192.1
TCGA-34-2600-01A
76 years, female, white, stage:Stage IA, dead, 1874 days
190.7
TCGA-21-1081-01A
69 years, male, white, stage:Stage IIB, dead, 284 days
189.8
TCGA-39-5034-01A
73 years, female, white, stage:Stage IIB, dead, 1107 days
189.2
TCGA-92-8064-01A
58 years, male, white, stage:'--, alive, 160 days
189.0
TCGA-98-8023-01A
70 years, male, white, stage:Stage IIIA, alive, 649 days
188.7
TCGA-60-2709-01A
69 years, male, black or african american, stage:Stage IB, alive, 1505 days
188.0
TCGA-63-A5MB-01A
62 years, male, stage:Stage IB, alive, 3123 days
187.6
TCGA-98-A53A-01A
70 years, male, black or african american, stage:Stage IB, dead, 552 days
186.9
TCGA-18-4083-01A
63 years, male, white, stage:Stage IIB, dead, 188 days
186.4
TCGA-37-4135-01A
68 years, male, white, stage:Stage IB, alive, 207 days
184.7
TCGA-33-6737-01A
71 years, male, white, stage:Stage IIIA, dead, 601 days
181.1
TCGA-NC-A5HJ-01A
59 years, male, white, stage:Stage IIB, dead, 418 days
180.6
TCGA-85-8355-01A
63 years, male, white, stage:Stage IA, alive, 61 days
179.7
TCGA-33-AASL-01A
57 years, female, black or african american, stage:Stage IA, dead, 826 days
178.3
TCGA-56-7730-01A
73 years, male, white, stage:Stage IIA, dead, 198 days
177.7
TCGA-56-8307-01A
55 years, female, white, stage:Stage IIB, alive, 818 days
175.1
TCGA-J1-A4AH-01A
70 years, male, white, stage:Stage IIA, alive, 581 days
175.0
TCGA-58-8388-01A
60 years, male, white, stage:Stage IB, dead, 412 days
174.7
TCGA-NC-A5HT-01A
69 years, male, white, stage:Stage IIIA, alive, 804 days
174.1
TCGA-LA-A7SW-01A
71 years, male, black or african american, stage:Stage IIIA, dead, 408 days
173.7
TCGA-NC-A5HR-01A
75 years, female, white, stage:Stage IIA, alive, 1244 days
171.2
TCGA-43-7656-01A
71 years, male, white, stage:Stage IA, alive, 596 days
170.9
TCGA-60-2695-01A
74 years, female, white, stage:Stage IB, alive, 642 days
170.1
TCGA-22-1011-01A
73 years, male, white, stage:Stage IB, dead, 53 days
169.5
TCGA-46-3769-01A
57 years, male, white, stage:'--, alive, 135 days
169.5
TCGA-85-8584-01A
71 years, male, white, stage:Stage IIA, dead, 383 days
168.9
TCGA-63-A5MG-01A
68 years, male, stage:Stage IB, alive, 2148 days
166.8
TCGA-22-5480-01A
66 years, female, white, stage:Stage IA, dead, 2170 days
164.7
TCGA-85-A4PA-01A
61 years, male, white, stage:Stage IB, alive, 741 days
164.5
TCGA-60-2726-01A
56 years, male, white, stage:Stage IIA, dead, 358 days
163.6
TCGA-98-A53D-01A
68 years, male, white, stage:Stage IIB, dead, 645 days
163.4
TCGA-56-8628-01A
78 years, male, white, stage:Stage IA, alive, 616 days
162.2
TCGA-77-6843-01A
74 years, male, white, stage:Stage IIA, dead, 2224 days
161.8
TCGA-34-A5IX-01A
80 years, male, white, stage:Stage IIB, alive, 1031 days
161.0
TCGA-39-5027-01A
73 years, male, white, stage:Stage IB, alive, 3108 days
160.9
TCGA-60-2703-01A
73 years, male, white, stage:Stage IIB, dead, 2945 days
160.7
TCGA-96-8170-01A
75 years, female, white, stage:Stage IIA, alive, 531 days
159.2
TCGA-85-A5B5-01A
58 years, male, white, stage:Stage IA, alive, 111 days
157.3
TCGA-43-6773-01A
76 years, male, white, stage:Stage IIB, dead, 116 days
157.0
TCGA-18-3415-01A
77 years, male, stage:Stage IB, dead, 2803 days
155.8
TCGA-37-4130-01A
56 years, male, white, stage:Stage IA, alive, 247 days
154.4
TCGA-63-A5MW-01A
76 years, male, stage:Stage IB, alive, 1639 days
153.6
TCGA-46-6026-01A
81 years, male, white, stage:Stage IIB, alive, 423 days
153.0
TCGA-51-4080-01A
65 years, male, black or african american, stage:Stage IIIB, dead, 12 days
152.5
TCGA-63-7021-01A
male, stage:Stage IA, alive, 2142 days
151.6
TCGA-98-8022-01A
61 years, male, white, stage:Stage IA, dead, 933 days
149.9
TCGA-NC-A5HO-01A
70 years, female, white, stage:Stage IIIA, alive, 1336 days
149.8
TCGA-94-A5I4-01A
61 years, male, white, stage:Stage IIA, alive, 491 days
149.8
TCGA-98-A53H-01A
76 years, female, white, stage:Stage IA, alive, 618 days
149.7
TCGA-39-5022-01A
76 years, male, white, stage:Stage IB, dead, 1679 days
148.8
TCGA-96-A4JK-01A
65 years, male, white, stage:Stage IIA, alive, 589 days
148.2
TCGA-77-7465-01A
58 years, male, white, stage:Stage IIA, alive, 990 days
147.5
TCGA-66-2757-01A
65 years, female, stage:Stage IA, dead, 1338 days
146.7
TCGA-60-2697-01A
41 years, male, white, stage:Stage IIA, dead, 372 days
144.0
TCGA-34-5929-01A
78 years, female, white, stage:Stage IB, dead, 151 days
142.8
TCGA-96-A4JL-01A
78 years, female, asian, stage:Stage IIA, alive, 842 days
142.3
TCGA-85-A4CL-01A
65 years, male, white, stage:Stage IA, dead, 921 days
140.7
TCGA-77-A5FZ-01A
64 years, male, stage:Stage IIIB, dead, 3838 days
140.2
TCGA-92-8065-01A
74 years, female, white, stage:Stage IIB, alive, 70 days
138.5
TCGA-O2-A5IB-01A
71 years, female, white, stage:Stage III, dead, 340 days
137.8
TCGA-43-8116-01A
73 years, male, white, stage:Stage IA, alive, 358 days
135.0
TCGA-43-5668-01A
78 years, male, white, stage:Stage IIA, dead, 559 days
134.1
TCGA-56-8623-01A
71 years, male, white, stage:Stage IB, dead, 692 days
130.4
TCGA-63-7022-01A
female, stage:Stage IA, alive, 2073 days
129.9
TCGA-22-4594-01A
60 years, female, stage:Stage IIIA, dead, 1470 days
126.2
TCGA-60-2712-01A
79 years, female, white, stage:Stage IIB, dead, 274 days
122.0
TCGA-85-8287-01A
72 years, male, white, stage:Stage IA, dead, 23 days
121.4
TCGA-90-A4ED-01A
69 years, male, white, stage:Stage IB, alive, 615 days
121.2
TCGA-63-A5MS-01A
78 years, male, stage:Stage IB, alive, 2381 days
120.8
TCGA-37-5819-01A
64 years, male, white, stage:Stage IIIA, alive, 103 days
110.5
TCGA-39-5030-01A
81 years, female, asian, stage:Stage IIIA, dead, 59 days
110.1
TCGA-22-5489-01A
64 years, male, white, stage:Stage IA, dead, 1912 days
104.9
TCGA-O2-A52W-01A
63 years, male, black or african american, stage:Stage I, dead, 261 days
103.1
TCGA-21-1082-01A
61 years, male, white, stage:Stage IB, alive, 3644 days
102.3
TCGA-90-A59Q-01A
61 years, female, white, stage:Stage IIA, dead, 322 days
101.7
TCGA-98-A53C-01A
77 years, female, white, stage:Stage IA, alive, 822 days
101.4
TCGA-43-2576-01A
62 years, female, white, stage:Stage IIIA, alive, 1223 days
93.9
TCGA-39-5040-01A
59 years, male, white, stage:Stage IIIA, dead, 519 days
90.2
TCGA-52-7809-01A
74 years, male, white, stage:Stage IB, dead, 166 days
86.0
TCGA-43-A56U-01A
76 years, female, white, stage:Stage IA, alive, 432 days
81.9
TCGA-77-8140-01A
66 years, female, stage:Stage IIB, dead, 351 days
80.5
TCGA-85-A513-01A
60 years, female, asian, stage:Stage IA, alive, 910 days
67.4
TCGA-22-1005-01A
63 years, male, white, stage:Stage IA, dead, 1953 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PGAM1 is not prognostic in Lung Squamous Cell Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: 4.6
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.0070
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
39%
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
77%
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
259.8
Number of samples
68
Samples
Sample
Description
TPM
L739
49 years, female, stage:Stage IIIA, dead, 352 days
740.4
L644
67 years, male, stage:Stage IA, dead, 282 days
471.0
L488
61 years, female, stage:Stage IIA, alive, 2993 days
458.5
L568
77 years, female, stage:Stage IIB, dead, 71 days
443.6
L466
65 years, female, stage:Stage IIIA, dead, 412 days
429.5
L633
77 years, female, stage:Stage IA, alive, 2102 days
421.4
L592
61 years, male, stage:Stage IB, alive, 2368 days
419.4
L452
62 years, male, stage:Stage IIIA, dead, 3115 days
416.6
L539
78 years, male, stage:Stage IB, dead, 370 days
392.5
L652
82 years, male, stage:Stage IA, dead, 5 days
390.7
L559
72 years, male, stage:Stage IIB, alive, 2615 days
385.2
L655
62 years, male, stage:Stage IIA, dead, 1603 days
377.6
L459
75 years, male, stage:Stage IIA, alive, 3181 days
349.1
L881
70 years, male, stage:Stage IB, alive, 1752 days
339.6
L817
76 years, female, stage:Stage IIIA, dead, 1279 days
329.4
L719
63 years, male, stage:Stage IB, alive, 1615 days
322.2
L858
69 years, female, stage:Stage IIB, dead, 558 days
319.9
L820
73 years, female, stage:Stage IA, alive, 2405 days
310.2
L563
61 years, female, stage:Stage IIB, dead, 1216 days
288.9
L685
71 years, female, stage:Stage IIB, alive, 1944 days
286.7
L534
66 years, male, stage:Stage IIA, alive, 2693 days
278.3
L483
65 years, male, stage:Stage IB, dead, 77 days
276.7
L744
75 years, male, stage:Stage IA, alive, 1614 days
276.5
L747
74 years, female, stage:Stage IA, dead, 1112 days
276.5
L586
67 years, male, stage:Stage IIA, dead, 784 days
275.3
L854
62 years, female, stage:Stage IB, alive, 2256 days
274.1
L818
67 years, male, stage:Stage IB, alive, 2480 days
271.4
L472
71 years, male, stage:Stage IB, dead, 423 days
270.4
L420
57 years, female, stage:Stage IIB, dead, 295 days
267.6
L864
66 years, female, stage:Stage IA, alive, 2192 days
264.4
L856
69 years, male, stage:Stage IA, dead, 1465 days
257.0
L496
77 years, male, stage:Stage IB, alive, 2761 days
256.5
L715
69 years, female, stage:Stage IIIA, dead, 150 days
251.2
L490
58 years, male, stage:Stage IA, dead, 716 days
248.4
L723
67 years, male, stage:Stage IIA, dead, 433 days
245.5
L857
69 years, male, stage:Stage IB, dead, 226 days
242.3
L642
67 years, male, stage:Stage IB, dead, 1167 days
223.6
L736
67 years, male, stage:Stage IA, dead, 1195 days
220.7
L470
78 years, female, stage:Stage IB, dead, 1774 days
219.1
L661
66 years, male, stage:Stage IA, dead, 1123 days
218.1
L755
82 years, male, stage:Stage IIA, dead, 227 days
217.5
L529
79 years, female, stage:Stage IA, alive, 2775 days
207.5
L608
73 years, male, stage:Stage IA, alive, 2350 days
205.0
L464
66 years, male, stage:Stage IB, dead, 1935 days
204.7
L824
70 years, male, stage:Stage IA, dead, 665 days
200.3
L767
67 years, male, stage:Stage IA, alive, 1718 days
197.6
L442
75 years, female, stage:Stage IB, dead, 2433 days
193.0
L444
74 years, female, stage:Stage IIB, alive, 3337 days
192.3
L447
67 years, male, stage:Stage IIB, alive, 3203 days
191.9
L852
64 years, male, stage:Stage IB, dead, 700 days
190.3
L760
80 years, male, stage:Stage IIA, alive, 1895 days
183.0
L572
58 years, male, stage:Stage IA, alive, 2532 days
171.6
L886
71 years, male, stage:Stage IB, dead, 1932 days
169.4
L604
67 years, male, stage:Stage IIA, dead, 286 days
167.4
L457
46 years, female, stage:Stage IIA, alive, 2901 days
161.3
L650
69 years, female, stage:Stage IB, dead, 986 days
159.3
L756
72 years, male, stage:Stage IB, alive, 1796 days
157.6
L860
77 years, male, stage:Stage IA, alive, 2056 days
153.9
L658
65 years, female, stage:Stage IIB, alive, 2083 days
145.6
L468
53 years, male, stage:Stage IB, alive, 3004 days
143.1
L753
61 years, male, stage:Stage IIA, alive, 1705 days
142.9
L712
61 years, male, stage:Stage IA, alive, 1698 days
141.0
L751
59 years, female, stage:Stage IIIA, alive, 1600 days
136.1
L788
54 years, female, stage:Stage IA, alive, 3385 days
135.3
L406
64 years, male, stage:Stage IA, alive, 3057 days
135.1
L884
71 years, male, stage:Stage IIA, alive, 1627 days
131.8
L456
48 years, male, stage:Stage IIA, dead, 1660 days
117.5
L758
84 years, male, stage:Stage IA, dead, 1562 days
110.8
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LUNG ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
213
Samples
Sample ID
Sample type
nRPX
CPT0067450003
Tumor
0.7
CPT0090340003
Tumor
0.5
CPT0090700003
Tumor
0.5
CPT0118620003
Tumor
0.5
CPT0083780003
Tumor
0.5
CPT0105060003
Tumor
0.4
CPT0011710004
Tumor
0.4
CPT0052940004
Tumor
0.4
CPT0105270003
Tumor
0.4
CPT0051690004
Tumor
0.4
CPT0118340003
Tumor
0.3
CPT0082850004
Tumor
0.3
CPT0021450003
Tumor
0.3
CPT0113210003
Tumor
0.3
CPT0084140003
Tumor
0.3
CPT0069360003
Tumor
0.3
CPT0082740004
Tumor
0.3
CPT0001380003
Tumor
0.3
CPT0052170004
Tumor
0.3
CPT0098130003
Tumor
0.3
CPT0070060003
Tumor
0.3
CPT0068100003
Tumor
0.2
CPT0091860003
Tumor
0.2
CPT0104630003
Tumor
0.2
CPT0066780003
Tumor
0.2
CPT0104970003
Tumor
0.2
CPT0146880004
Tumor
0.2
CPT0147080004
Tumor
0.2
CPT0011750003
Normal
0.2
CPT0000920017
Tumor
0.2
CPT0086310003
Tumor
0.2
CPT0011930003
Normal
0.2
CPT0113990003
Tumor
0.2
CPT0067940003
Tumor
0.2
CPT0110980004
Tumor
0.2
CPT0146780004
Tumor
0.2
CPT0102450003
Tumor
0.2
CPT0063810003
Tumor
0.2
CPT0067250003
Tumor
0.1
CPT0001960003
Tumor
0.1
CPT0053040004
Tumor
0.1
CPT0086750003
Tumor
0.1
CPT0105710003
Tumor
0.1
CPT0014260003
Tumor
0.1
CPT0097580003
Tumor
0.1
CPT0117970003
Tumor
0.1
CPT0013880003
Tumor
0.1
CPT0105940003
Tumor
0.1
CPT0148280004
Tumor
0.1
CPT0109680004
Tumor
0.1
CPT0069520003
Tumor
0.1
CPT0001660013
Tumor
0.1
CPT0106110003
Tumor
0.1
CPT0082770003
Normal
0.1
CPT0014860003
Tumor
0.1
CPT0090570004
Tumor
0.1
CPT0147380004
Tumor
0.1
CPT0090170004
Tumor
0.1
CPT0118160003
Tumor
0.1
CPT0008450003
Tumor
0.1
CPT0066890003
Tumor
0.1
CPT0147580004
Tumor
0.1
CPT0147980004
Tumor
0.1
CPT0092530003
Tumor
0.1
CPT0070080003
Normal
0.1
CPT0015420003
Normal
0.1
CPT0001690003
Normal
0.1
CPT0067290003
Normal
0.1
CPT0118200003
Tumor
0.1
CPT0066930003
Normal
0.1
CPT0001580009
Tumor
0.1
CPT0086320003
Normal
0.1
CPT0001590003
Normal
0.0
CPT0118880003
Tumor
0.0
CPT0068610003
Tumor
0.0
CPT0147400003
Normal
0.0
CPT0067470004
Normal
0.0
CPT0105680003
Normal
0.0
CPT0105330003
Tumor
0.0
CPT0118570003
Tumor
0.0
CPT0091260003
Normal
0.0
CPT0147500003
Normal
0.0
CPT0067770003
Normal
0.0
CPT0090720003
Normal
0.0
CPT0068800003
Tumor
0.0
CPT0089340003
Tumor
0.0
CPT0114660004
Tumor
0.0
CPT0013600003
Tumor
0.0
CPT0105980003
Normal
0.0
CPT0082890003
Normal
0.0
CPT0097600003
Normal
0.0
CPT0092940003
Normal
0.0
CPT0105230003
Tumor
0.0
CPT0091870003
Normal
0.0
CPT0105370004
Normal
0.0
CPT0147900003
Normal
0.0
CPT0014290003
Normal
0.0
CPT0090200003
Normal
0.0
CPT0109740004
Tumor
0.0
CPT0068650003
Normal
0.0
CPT0069370003
Normal
0.0
CPT0091240003
Tumor
0.0
CPT0013910003
Normal
0.0
CPT0092250003
Normal
0.0
CPT0148100003
Normal
0.0
CPT0118010003
Normal
0.0
CPT0148300003
Normal
0.0
CPT0147000003
Normal
0.0
CPT0063730003
Tumor
0.0
CPT0079850003
Normal
0.0
CPT0109700003
Normal
0.0
CPT0115090003
Normal
0.0
CPT0105510003
Tumor
0.0
CPT0063750003
Normal
-0.1
CPT0083810003
Normal
-0.1
CPT0148000003
Normal
-0.1
CPT0023310003
Tumor
-0.1
CPT0021490003
Normal
-0.1
CPT0090900004
Normal
-0.1
CPT0068130003
Normal
-0.1
CPT0092930003
Tumor
-0.1
CPT0067950003
Normal
-0.1
CPT0014930003
Normal
-0.1
CPT0110890003
Normal
-0.1
CPT0105010004
Normal
-0.1
CPT0109850003
Normal
-0.1
CPT0118180003
Normal
-0.1
CPT0001060010
Tumor
-0.1
CPT0106100003
Normal
-0.1
CPT0083140003
Normal
-0.1
CPT0125810003
Tumor
-0.1
CPT0147600003
Normal
-0.1
CPT0113220003
Normal
-0.1
CPT0104760003
Normal
-0.1
CPT0118360003
Normal
-0.1
CPT0066810003
Normal
-0.1
CPT0069700003
Tumor
-0.1
CPT0147880004
Tumor
-0.1
CPT0109760003
Normal
-0.1
CPT0090370003
Normal
-0.1
CPT0105740003
Normal
-0.1
CPT0067110003
Normal
-0.1
CPT0069720003
Normal
-0.1
CPT0105550003
Normal
-0.1
CPT0118650003
Normal
-0.1
CPT0089360003
Normal
-0.1
CPT0112080003
Normal
-0.1
CPT0083420003
Normal
-0.1
CPT0067620003
Tumor
-0.1
CPT0000930003
Normal
-0.1
CPT0105630003
Tumor
-0.1
CPT0118890003
Normal
-0.1
CPT0105250003
Normal
-0.1
CPT0118600003
Normal
-0.1
CPT0109710003
Normal
-0.1
CPT0011910004
Tumor
-0.1
CPT0104750003
Tumor
-0.1
CPT0104650003
Normal
-0.1
CPT0148200003
Normal
-0.1
CPT0112060003
Tumor
-0.1
CPT0001390003
Normal
-0.1
CPT0118810003
Tumor
-0.1
CPT0105610003
Normal
-0.1
CPT0115070003
Tumor
-0.1
CPT0063840003
Normal
-0.1
CPT0001070003
Normal
-0.1
CPT0068830003
Normal
-0.1
CPT0067070003
Tumor
-0.2
CPT0147100003
Normal
-0.2
CPT0083390004
Tumor
-0.2
CPT0114880003
Normal
-0.2
CPT0083100003
Tumor
-0.2
CPT0069550003
Normal
-0.2
CPT0105600003
Tumor
-0.2
CPT0013630003
Normal
-0.2
CPT0084170003
Normal
-0.2
CPT0023320003
Normal
-0.2
CPT0118240003
Normal
-0.2
CPT0146980004
Tumor
-0.2
CPT0109830004
Tumor
-0.2
CPT0114840003
Tumor
-0.2
CPT0111590003
Normal
-0.2
CPT0146800003
Normal
-0.2
CPT0086770003
Normal
-0.2
CPT0102480003
Normal
-0.2
CPT0015410003
Tumor
-0.2
CPT0110860004
Tumor
-0.2
CPT0114010003
Normal
-0.2
CPT0146700003
Normal
-0.2
CPT0055100004
Tumor
-0.2
CPT0001810003
Normal
-0.2
CPT0008410003
Tumor
-0.2
CPT0001970003
Normal
-0.2
CPT0125830003
Normal
-0.2
CPT0105190003
Normal
-0.2
CPT0118830003
Normal
-0.2
CPT0111480003
Normal
-0.2
CPT0090600003
Normal
-0.2
CPT0147480004
Tumor
-0.2
CPT0062810003
Normal
-0.2
CPT0146600003
Normal
-0.2
CPT0090860003
Tumor
-0.3
CPT0148180004
Tumor
-0.3
CPT0114690003
Normal
-0.3
CPT0079830003
Tumor
-0.3
CPT0146680004
Tumor
-0.3
CPT0111300003
Tumor
-0.3
CPT0008420003
Normal
-0.3
CPT0109720004
Tumor
-0.4
CPT0092240003
Tumor
-0.4
CPT0001800013
Tumor
-0.4
CPT0146580004
Tumor
N/A
CPT0148080004
Tumor
N/A
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LUNG SQUAMOUS CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
212
Samples
Sample ID
Sample type
nRPX
CPT0202020008
Tumor
0.9
CPT0208770003
Tumor
0.9
CPT0237200004
Tumor
0.8
CPT0068280003
Tumor
0.7
CPT0091820003
Tumor
0.6
CPT0146480004
Tumor
0.6
CPT0126670003
Tumor
0.6
CPT0204990003
Tumor
0.5
CPT0146380004
Tumor
0.5
CPT0136640003
Tumor
0.5
CPT0197150003
Tumor
0.5
CPT0147680004
Tumor
0.5
CPT0147180004
Tumor
0.4
CPT0202350004
Tumor
0.4
CPT0209490003
Tumor
0.4
CPT0191710003
Tumor
0.4
CPT0130410003
Tumor
0.4
CPT0223820003
Normal
0.4
CPT0091610003
Tumor
0.4
CPT0104930003
Tumor
0.4
CPT0063430003
Tumor
0.4
CPT0091050003
Tumor
0.4
CPT0238110004
Tumor
0.3
CPT0023470003
Tumor
0.3
CPT0079050003
Tumor
0.3
CPT0183250004
Tumor
0.3
CPT0112720003
Tumor
0.3
CPT0197090003
Tumor
0.3
CPT0098770003
Tumor
0.3
CPT0237060004
Tumor
0.3
CPT0069890003
Tumor
0.3
CPT0126740003
Tumor
0.3
CPT0234560003
Tumor
0.3
CPT0112650003
Tumor
0.3
CPT0245830003
Tumor
0.3
CPT0209020004
Tumor
0.3
CPT0130030003
Tumor
0.3
CPT0126530003
Tumor
0.2
CPT0191860003
Tumor
0.2
CPT0128890003
Tumor
0.2
CPT0175260003
Tumor
0.2
CPT0126470003
Normal
0.2
CPT0204600003
Tumor
0.2
CPT0083980003
Tumor
0.2
CPT0063480003
Tumor
0.2
CPT0196810003
Tumor
0.2
CPT0175120003
Tumor
0.2
CPT0237410004
Tumor
0.2
CPT0245780003
Tumor
0.2
CPT0217420003
Tumor
0.2
CPT0086260003
Tumor
0.2
CPT0010050003
Tumor
0.2
CPT0087190003
Tumor
0.2
CPT0126450003
Tumor
0.2
CPT0186130003
Tumor
0.2
CPT0219360003
Tumor
0.2
CPT0104360003
Tumor
0.2
CPT0147700003
Normal
0.2
CPT0234930004
Tumor
0.1
CPT0237970004
Tumor
0.1
CPT0086270003
Normal
0.1
CPT0146400003
Normal
0.1
CPT0117720003
Tumor
0.1
CPT0197210003
Tumor
0.1
CPT0126830003
Normal
0.1
CPT0111000004
Normal
0.1
CPT0136660003
Normal
0.1
CPT0237760003
Tumor
0.1
CPT0175390003
Tumor
0.1
CPT0197740003
Tumor
0.1
CPT0130310003
Normal
0.1
CPT0175560003
Tumor
0.1
CPT0207210003
Tumor
0.1
CPT0102790003
Tumor
0.1
CPT0237550004
Tumor
0.1
CPT0112540003
Tumor
0.1
CPT0090440003
Tumor
0.1
CPT0112600003
Normal
0.1
CPT0123350003
Tumor
0.1
CPT0115860003
Normal
0.1
CPT0202040003
Normal
0.1
CPT0104950003
Normal
0.0
CPT0091620003
Normal
0.0
CPT0069900003
Normal
0.0
CPT0218280003
Tumor
0.0
CPT0112580003
Tumor
0.0
CPT0187370003
Tumor
0.0
CPT0087210003
Normal
0.0
CPT0126810003
Tumor
0.0
CPT0233320003
Tumor
0.0
CPT0227020003
Tumor
0.0
CPT0183270003
Normal
0.0
CPT0217490003
Normal
0.0
CPT0001020003
Tumor
0.0
CPT0130070003
Normal
0.0
CPT0108560003
Tumor
0.0
CPT0221200003
Tumor
0.0
CPT0089880003
Tumor
0.0
CPT0204820003
Normal
0.0
CPT0104380003
Normal
0.0
CPT0202580004
Normal
0.0
CPT0245790003
Normal
0.0
CPT0209040003
Normal
0.0
CPT0192590004
Normal
0.0
CPT0237570003
Normal
0.0
CPT0234790003
Tumor
0.0
CPT0126390003
Tumor
0.0
CPT0007760003
Normal
0.0
CPT0175270003
Normal
0.0
CPT0196820003
Normal
0.0
CPT0236420003
Tumor
0.0
CPT0202740003
Normal
0.0
CPT0202220004
Normal
0.0
CPT0241170003
Tumor
0.0
CPT0202530004
Tumor
0.0
CPT0130440004
Normal
0.0
CPT0112550003
Normal
0.0
CPT0023500003
Normal
-0.1
CPT0197380003
Normal
-0.1
CPT0083990003
Normal
-0.1
CPT0233600003
Tumor
-0.1
CPT0227400003
Tumor
-0.1
CPT0208780003
Normal
-0.1
CPT0195520003
Normal
-0.1
CPT0237780003
Normal
-0.1
CPT0190550003
Tumor
-0.1
CPT0186180003
Tumor
-0.1
CPT0221660003
Normal
-0.1
CPT0010060003
Normal
-0.1
CPT0105430003
Normal
-0.1
CPT0225470003
Normal
-0.1
CPT0068320003
Normal
-0.1
CPT0112730003
Normal
-0.1
CPT0175410003
Normal
-0.1
CPT0234950004
Normal
-0.1
CPT0102840003
Normal
-0.1
CPT0241210003
Normal
-0.1
CPT0105420003
Tumor
-0.1
CPT0063440003
Normal
-0.1
CPT0112660003
Normal
-0.1
CPT0202170003
Tumor
-0.1
CPT0123370003
Normal
-0.1
CPT0234580003
Normal
-0.1
CPT0098800003
Normal
-0.1
CPT0126760003
Normal
-0.1
CPT0147200003
Normal
-0.1
CPT0237080003
Normal
-0.1
CPT0233330003
Normal
-0.1
CPT0111150004
Tumor
-0.1
CPT0227420003
Normal
-0.1
CPT0108600003
Normal
-0.1
CPT0202720003
Tumor
-0.1
CPT0237710003
Normal
-0.1
CPT0175160003
Normal
-0.1
CPT0232670003
Tumor
-0.1
CPT0205000003
Normal
-0.1
CPT0079100003
Tumor
-0.1
CPT0186140003
Normal
-0.1
CPT0204800003
Tumor
-0.1
CPT0237990003
Normal
-0.1
CPT0237430003
Normal
-0.1
CPT0197100003
Normal
-0.1
CPT0233160003
Normal
-0.1
CPT0091090003
Normal
-0.1
CPT0007740003
Tumor
-0.1
CPT0197170003
Normal
-0.1
CPT0117770003
Normal
-0.2
CPT0197860003
Normal
-0.2
CPT0219390003
Normal
-0.2
CPT0227070003
Normal
-0.2
CPT0186210003
Normal
-0.2
CPT0064050003
Normal
-0.2
CPT0187380003
Normal
-0.2
CPT0146500003
Normal
-0.2
CPT0204660003
Normal
-0.2
CPT0237690004
Tumor
-0.2
CPT0202400004
Normal
-0.2
CPT0233640003
Normal
-0.2
CPT0126400003
Normal
-0.2
CPT0238130003
Normal
-0.2
CPT0079110003
Normal
-0.2
CPT0207250003
Normal
-0.2
CPT0222740003
Normal
-0.2
CPT0209510003
Normal
-0.2
CPT0191930003
Normal
-0.2
CPT0245890003
Normal
-0.2
CPT0128900003
Normal
-0.2
CPT0234820003
Normal
-0.2
CPT0218310003
Normal
-0.2
CPT0245840003
Normal
-0.2
CPT0236430003
Normal
-0.2
CPT0233120003
Tumor
-0.2
CPT0221650003
Tumor
-0.2
CPT0197520003
Normal
-0.2
CPT0245880003
Tumor
-0.2
CPT0195510003
Tumor
-0.2
CPT0101130003
Tumor
-0.2
CPT0130270003
Tumor
-0.2
CPT0192540004
Tumor
-0.2
CPT0237210003
Normal
-0.2
CPT0225380003
Tumor
-0.2
CPT0221220003
Normal
-0.3
CPT0223790003
Tumor
-0.3
CPT0232690003
Normal
-0.3
CPT0197480003
Tumor
-0.3
CPT0191750003
Normal
-0.3
CPT0001030003
Normal
-0.3
CPT0063500003
Normal
-0.3
CPT0222730003
Tumor
-0.3
CPT0079060003
Normal
-0.3
CPT0115830003
Tumor
-0.4
CPT0064040003
Tumor
-0.5
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LUNG CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.