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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.
APEX1 is not prognostic 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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
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.
N/A
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.
N/A
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
120.0
Number of samples
497
Samples
Sample
Description
TPM
TCGA-95-7562-01A
71 years, male, black or african american, stage:Stage IIA, dead, 87 days
514.2
TCGA-44-7667-01A
49 years, female, white, stage:Stage IIB, alive, 1097 days
505.7
TCGA-91-8499-01A
76 years, female, white, stage:Stage IA, alive, 36 days
462.7
TCGA-91-6847-01A
62 years, female, white, stage:Stage IB, alive, 842 days
439.7
TCGA-97-8171-01A
81 years, male, asian, stage:Stage IV, alive, 568 days
332.8
TCGA-64-5775-01A
71 years, male, white, stage:Stage IIIA, dead, 62 days
310.1
TCGA-4B-A93V-01A
52 years, female, black or african american, stage:Stage IA, dead, 300 days
298.0
TCGA-86-7955-01A
62 years, male, white, stage:Stage IB, alive, 1072 days
297.3
TCGA-50-6591-01A
63 years, female, white, stage:Stage IV, dead, 119 days
288.8
TCGA-78-8640-01A
59 years, male, stage:Stage IIA, alive, 7062 days
284.1
TCGA-55-8511-01A
73 years, female, white, stage:Stage IB, alive, 552 days
274.2
TCGA-78-7536-01A
69 years, male, white, stage:Stage IIIA, dead, 244 days
271.7
TCGA-80-5611-01A
male, stage:Stage IB, alive, 2595 days
264.7
TCGA-69-7973-01A
42 years, female, white, stage:Stage IB, alive, 230 days
259.1
TCGA-50-6594-01A
79 years, female, black or african american, stage:Stage IIIA, dead, 370 days
259.0
TCGA-91-6840-01A
59 years, female, white, stage:Stage IA, alive, 372 days
256.1
TCGA-35-5375-01A
61 years, male, white, stage:Stage IIIA, alive, 264 days
254.2
TCGA-38-4630-01A
75 years, female, white, stage:Stage IB, dead, 1073 days
253.0
TCGA-MP-A4T8-01A
68 years, male, stage:Stage IIIA, dead, 161 days
249.5
TCGA-05-4390-01A
58 years, female, stage:Stage IB, alive, 1126 days
247.1
TCGA-75-5147-01A
female, stage:Stage IB, alive, 1333 days
241.5
TCGA-86-A4D0-01A
48 years, male, white, stage:Stage IIA, dead, 116 days
238.6
TCGA-62-8399-01A
62 years, male, white, stage:Stage IIIA, alive, 2696 days
234.8
TCGA-78-7155-01A
68 years, male, white, stage:Stage IB, dead, 1171 days
232.6
TCGA-55-8614-01A
76 years, male, white, stage:Stage IB, alive, 536 days
228.3
TCGA-05-4415-01A
57 years, male, stage:Stage IIIB, dead, 91 days
227.6
TCGA-64-5774-01A
60 years, male, white, stage:Stage IB, alive, 2676 days
226.1
TCGA-55-7570-01A
60 years, male, black or african american, stage:Stage IA, alive, 824 days
224.0
TCGA-38-4625-01A
66 years, female, white, stage:Stage IB, alive, 2973 days
217.6
TCGA-35-3615-01A
57 years, male, white, stage:Stage IB, alive, 14 days
213.1
TCGA-55-1596-01A
55 years, male, asian, stage:Stage IIB, alive, 2065 days
212.2
TCGA-83-5908-01A
59 years, female, white, stage:Stage IA, alive, 824 days
211.4
TCGA-86-8054-01A
61 years, male, white, stage:Stage IIB, alive, 1148 days
210.5
TCGA-86-7713-01A
70 years, male, white, stage:Stage IIA, alive, 1157 days
203.7
TCGA-64-1678-01A
70 years, female, white, stage:'--, alive, 1189 days
201.7
TCGA-44-8119-01A
73 years, male, white, stage:Stage IIB, alive, 285 days
199.3
TCGA-55-5899-01A
58 years, male, white, stage:'--, alive, 930 days
195.7
TCGA-73-4670-01A
69 years, female, white, stage:Stage IV, alive, 131 days
194.7
TCGA-86-8674-01A
50 years, male, white, stage:Stage IIA, alive, 806 days
193.8
TCGA-78-8662-01A
53 years, female, stage:Stage IB, dead, 3361 days
193.6
TCGA-86-8074-01A
62 years, female, white, stage:Stage IIA, alive, 24 days
189.6
TCGA-49-4488-01A
74 years, female, white, stage:Stage IA, dead, 869 days
189.5
TCGA-97-8179-01A
72 years, male, white, stage:Stage IA, alive, 435 days
183.9
TCGA-55-6970-01A
67 years, female, white, stage:Stage IIIA, dead, 464 days
179.7
TCGA-05-4424-01A
70 years, male, stage:Stage IIB, alive, 913 days
179.6
TCGA-05-4397-01A
65 years, male, stage:Stage IIB, dead, 731 days
179.3
TCGA-55-8507-01A
53 years, male, white, stage:Stage IA, alive, 418 days
178.6
TCGA-55-6986-01A
74 years, female, white, stage:Stage IB, alive, 3261 days
178.0
TCGA-44-8120-01A
58 years, male, black or african american, stage:Stage IB, alive, 260 days
176.3
TCGA-91-6829-01A
78 years, male, white, stage:Stage IB, dead, 1258 days
175.6
TCGA-78-7158-01A
59 years, female, white, stage:Stage IIIB, dead, 179 days
174.7
TCGA-78-7539-01A
75 years, female, white, stage:Stage IIA, alive, 791 days
172.7
TCGA-71-6725-01A
48 years, female, asian, stage:Stage IB, alive, 256 days
169.0
TCGA-93-8067-01A
77 years, male, asian, stage:Stage IB, alive, 186 days
168.4
TCGA-86-7953-01A
69 years, female, white, stage:Stage IA, alive, 997 days
167.9
TCGA-J2-8194-01A
69 years, female, white, stage:Stage IIB, alive, 724 days
167.4
TCGA-91-6831-01A
66 years, male, white, stage:Stage IB, alive, 310 days
166.6
TCGA-MP-A4T9-01A
54 years, female, white, stage:Stage IIIA, dead, 1265 days
166.5
TCGA-05-4250-01A
79 years, female, stage:Stage IIIA, dead, 121 days
165.1
TCGA-73-4659-01A
66 years, male, white, stage:Stage IIIA, dead, 711 days
164.3
TCGA-MP-A4TE-01A
56 years, male, white, stage:Stage IIA, dead, 896 days
163.6
TCGA-78-7159-01A
60 years, female, white, stage:Stage IA, alive, 1974 days
162.4
TCGA-95-8494-01A
67 years, male, white, stage:Stage IIA, alive, 84 days
162.2
TCGA-49-6767-01A
46 years, female, white, stage:Stage IIB, alive, 677 days
160.5
TCGA-64-5778-01A
60 years, male, white, stage:Stage IB, alive, 1305 days
159.6
TCGA-91-6836-01A
52 years, female, white, stage:Stage IB, alive, 417 days
159.1
TCGA-73-A9RS-01A
41 years, male, black or african american, stage:Stage IIB, dead, 340 days
159.0
TCGA-05-4389-01A
70 years, male, stage:Stage IA, alive, 1369 days
158.5
TCGA-62-A46V-01A
78 years, female, white, stage:Stage IB, alive, 2199 days
156.9
TCGA-55-7994-01A
81 years, male, white, stage:Stage IIB, alive, 603 days
155.9
TCGA-38-4629-01A
68 years, male, white, stage:Stage IIB, dead, 864 days
155.8
TCGA-38-6178-01A
70 years, female, white, stage:Stage IIIA, alive, 448 days
154.8
TCGA-75-6212-01A
female, stage:Stage IIB, dead, 1516 days
154.4
TCGA-78-7220-01A
53 years, female, white, stage:Stage IIIA, dead, 807 days
154.0
TCGA-50-5072-01A
74 years, male, white, stage:Stage IIIA, dead, 250 days
153.6
TCGA-05-5429-01A
60 years, male, stage:Stage IIIA, dead, 275 days
152.7
TCGA-50-5936-01A
58 years, male, white, stage:Stage IIIA, dead, 257 days
152.4
TCGA-50-5932-01A
75 years, male, white, stage:Stage IIB, dead, 1235 days
152.0
TCGA-62-8402-01A
73 years, female, white, stage:Stage IIIA, dead, 1498 days
151.2
TCGA-49-6743-01A
81 years, female, white, stage:Stage IIIA, alive, 1621 days
150.5
TCGA-86-8585-01A
57 years, male, white, stage:Stage IB, alive, 353 days
150.4
TCGA-73-4666-01A
52 years, female, white, stage:Stage IV, alive, 800 days
150.3
TCGA-55-1594-01A
68 years, male, white, stage:Stage IIIA, alive, 1178 days
149.8
TCGA-64-1677-01A
77 years, female, white, stage:Stage IIIA, dead, 628 days
149.5
TCGA-91-6835-01A
81 years, female, white, stage:Stage IA, alive, 79 days
149.2
TCGA-50-7109-01A
60 years, male, white, stage:Stage IA, dead, 308 days
148.8
TCGA-49-AAR0-01A
57 years, male, black or african american, stage:Stage IA, alive, 4765 days
148.6
TCGA-55-6975-01A
61 years, male, white, stage:Stage IIB, dead, 118 days
148.4
TCGA-78-7161-01A
69 years, female, white, stage:Stage IIB, dead, 291 days
148.0
TCGA-44-6779-01A
50 years, female, white, stage:Stage IIB, dead, 500 days
147.1
TCGA-49-6745-01A
82 years, male, white, stage:Stage IIIA, alive, 522 days
146.9
TCGA-86-8279-01A
46 years, male, white, stage:Stage IIA, alive, 949 days
145.5
TCGA-50-8457-01A
63 years, female, black or african american, stage:Stage IA, alive, 1125 days
145.3
TCGA-62-8394-01A
65 years, female, white, stage:Stage IIIB, dead, 139 days
144.6
TCGA-50-5946-01A
62 years, male, white, stage:Stage IA, alive, 1617 days
144.5
TCGA-05-4402-01A
57 years, female, stage:Stage IV, dead, 244 days
144.5
TCGA-86-6562-01A
52 years, male, white, stage:Stage IIA, dead, 376 days
144.1
TCGA-86-8075-01A
66 years, female, white, stage:Stage IB, dead, 694 days
143.9
TCGA-55-8302-01A
54 years, male, white, stage:Stage IB, alive, 478 days
143.9
TCGA-J2-A4AD-01A
61 years, female, white, stage:Stage IA, dead, 550 days
143.3
TCGA-95-7567-01A
61 years, male, white, stage:Stage IIB, alive, 568 days
142.7
TCGA-78-7156-01A
62 years, male, white, stage:Stage IV, dead, 976 days
142.4
TCGA-55-6972-01A
72 years, male, white, stage:Stage IB, dead, 1632 days
142.2
TCGA-05-4427-01A
65 years, female, stage:Stage IIB, alive, 791 days
142.1
TCGA-55-1592-01A
65 years, male, white, stage:Stage IA, dead, 701 days
141.9
TCGA-L9-A7SV-01A
69 years, male, black or african american, stage:Stage IIA, alive, 565 days
141.4
TCGA-86-7714-01A
61 years, female, black or african american, stage:Stage IIIA, dead, 625 days
140.6
TCGA-78-7145-01A
52 years, female, white, stage:Stage IV, dead, 826 days
140.2
TCGA-78-7160-01A
61 years, male, white, stage:Stage IV, dead, 697 days
139.8
TCGA-97-8175-01A
55 years, female, white, stage:Stage IB, alive, 551 days
139.6
TCGA-55-A4DF-01A
88 years, male, white, stage:Stage IA, dead, 440 days
139.4
TCGA-86-8073-01A
58 years, male, white, stage:Stage IB, alive, 740 days
139.1
TCGA-05-4434-01A
67 years, female, stage:Stage IV, dead, 457 days
138.2
TCGA-50-6595-01A
74 years, female, white, stage:Stage IIIA, dead, 189 days
138.2
TCGA-MP-A4SY-01A
61 years, male, white, stage:Stage IIB, dead, 1501 days
137.7
TCGA-80-5608-01A
female, stage:Stage IA, alive, 2832 days
137.5
TCGA-44-6147-01A
67 years, female, white, stage:Stage IA, alive, 845 days
137.4
TCGA-95-A4VK-01A
74 years, female, white, stage:Stage IIIA, alive, 651 days
137.3
TCGA-64-1679-01A
58 years, female, white, stage:Stage IIIA, alive, 2488 days
137.3
TCGA-95-7947-01A
67 years, male, white, stage:Stage IA, alive, 477 days
137.2
TCGA-55-8204-01A
87 years, female, white, stage:Stage IB, alive, 515 days
137.0
TCGA-50-5066-01A
72 years, male, black or african american, stage:Stage IB, alive, 1442 days
136.8
TCGA-86-8278-01A
63 years, female, white, stage:Stage IIB, alive, 944 days
136.8
TCGA-05-4426-01A
71 years, male, stage:Stage IB, alive, 791 days
136.6
TCGA-49-6742-01A
70 years, male, white, stage:Stage IIA, dead, 488 days
136.4
TCGA-73-4658-01A
80 years, female, white, stage:Stage IB, dead, 1600 days
136.4
TCGA-55-8087-01A
59 years, female, white, stage:Stage IB, alive, 462 days
136.4
TCGA-86-8055-01A
79 years, male, white, stage:Stage IIA, dead, 124 days
136.0
TCGA-49-4501-01A
67 years, female, white, stage:Stage IB, dead, 1421 days
135.7
TCGA-44-2655-01A
65 years, female, white, stage:Stage IA, alive, 1324 days
135.1
TCGA-97-7941-01A
72 years, female, white, stage:Stage IA, alive, 484 days
134.6
TCGA-67-6216-01A
57 years, female, white, stage:Stage IA, alive, 141 days
134.3
TCGA-38-4627-01A
64 years, female, white, stage:Stage IIA, dead, 1147 days
134.2
TCGA-05-4384-01A
66 years, male, stage:Stage IIIA, alive, 426 days
134.1
TCGA-95-8039-01A
72 years, male, white, stage:Stage IA, alive, 830 days
134.0
TCGA-44-A47B-01A
79 years, male, white, stage:Stage IB, alive, 287 days
133.9
TCGA-49-4490-01A
45 years, female, white, stage:Stage IIIA, dead, 385 days
133.7
TCGA-MP-A4TF-01A
58 years, female, white, stage:Stage IIA, dead, 336 days
133.6
TCGA-44-7660-01A
72 years, male, white, stage:Stage IB, alive, 592 days
133.6
TCGA-86-A4JF-01A
56 years, male, white, stage:Stage IIB, dead, 737 days
133.5
TCGA-86-8669-01A
64 years, male, white, stage:Stage IA, alive, 938 days
133.3
TCGA-44-2668-01A
51 years, male, white, stage:Stage IB, dead, 761 days
133.1
TCGA-MP-A4T6-01A
76 years, female, white, stage:Stage IIIA, dead, 1790 days
132.8
TCGA-05-4249-01A
67 years, male, stage:Stage IB, alive, 1523 days
132.5
TCGA-55-7576-01A
54 years, male, black or african american, stage:Stage IB, alive, 670 days
132.3
TCGA-55-8203-01A
69 years, female, white, stage:Stage IA, alive, 547 days
132.1
TCGA-78-7147-01A
67 years, female, white, stage:Stage IIB, dead, 586 days
131.3
TCGA-78-7148-01A
71 years, male, white, stage:Stage IIB, dead, 626 days
131.1
TCGA-73-4677-01A
74 years, male, white, stage:'--, dead, 38 days
130.9
TCGA-NJ-A4YP-01A
52 years, male, white, stage:Stage IB, alive, 50 days
130.9
TCGA-44-2666-01A
43 years, male, white, stage:Stage IB, dead, 97 days
130.9
TCGA-69-7979-01A
71 years, female, white, stage:Stage IB, alive, 408 days
130.4
TCGA-55-7815-01A
76 years, male, stage:Stage IB, alive, 773 days
130.3
TCGA-MP-A4SV-01A
67 years, male, stage:Stage IB, dead, 2620 days
130.2
TCGA-38-4628-01A
65 years, female, white, stage:Stage IIB, dead, 1492 days
130.0
TCGA-MP-A5C7-01A
76 years, female, white, stage:Stage IB, alive, 2248 days
129.6
TCGA-44-2665-01A
55 years, female, white, stage:Stage IIB, alive, 1301 days
129.0
TCGA-55-6978-01A
81 years, male, white, stage:Stage IIA, dead, 176 days
128.8
TCGA-97-A4M6-01A
45 years, female, white, stage:Stage IA, alive, 568 days
128.2
TCGA-44-6778-01A
59 years, male, black or african american, stage:Stage IA, alive, 1864 days
128.0
TCGA-97-A4M3-01A
69 years, female, white, stage:Stage IA, alive, 540 days
127.8
TCGA-50-5931-01A
75 years, female, white, stage:Stage IB, dead, 434 days
126.5
TCGA-55-6981-01A
53 years, female, white, stage:Stage IIIA, dead, 1379 days
126.4
TCGA-78-7153-01A
65 years, female, white, stage:Stage IB, alive, 3635 days
126.0
TCGA-69-8255-01A
71 years, male, white, stage:Stage IA, alive, 129 days
125.9
TCGA-95-7043-01A
63 years, female, white, stage:Stage IA, dead, 503 days
125.8
TCGA-86-8358-01A
44 years, male, white, stage:Stage IB, alive, 653 days
125.3
TCGA-35-4123-01A
38 years, male, white, stage:Stage IA, alive, 182 days
125.3
TCGA-55-8090-01A
80 years, male, white, stage:Stage IA, dead, 598 days
125.2
TCGA-67-3773-01A
84 years, female, white, stage:Stage IB, alive, 427 days
125.0
TCGA-44-3917-01A
33 years, female, white, stage:Stage IB, alive, 1183 days
124.9
TCGA-NJ-A4YF-01A
50 years, female, black or african american, stage:Stage IA, alive, 2161 days
124.8
TCGA-93-A4JP-01A
64 years, male, asian, stage:Stage IV, alive, 578 days
124.7
TCGA-44-A4SU-01A
67 years, female, white, stage:Stage IA, dead, 409 days
124.5
TCGA-49-AAR9-01A
61 years, male, black or african american, stage:Stage IIB, dead, 260 days
124.2
TCGA-55-8206-01A
56 years, male, white, stage:Stage IA, alive, 888 days
124.1
TCGA-86-7954-01A
68 years, female, white, stage:Stage IB, alive, 605 days
124.0
TCGA-55-8091-01A
74 years, male, white, stage:Stage IB, alive, 600 days
124.0
TCGA-62-A46P-01A
65 years, male, white, stage:Stage IB, dead, 594 days
123.7
TCGA-05-4430-01A
59 years, female, stage:Stage IB, alive, 761 days
123.7
TCGA-05-4425-01A
70 years, female, stage:Stage IV, alive, 669 days
123.6
TCGA-78-7154-01A
72 years, male, white, stage:Stage IIIA, dead, 593 days
123.6
TCGA-44-A47A-01A
78 years, female, white, stage:Stage IB, alive, 466 days
123.5
TCGA-49-AARN-01A
56 years, female, black or african american, stage:Stage IA, dead, 1135 days
122.4
TCGA-55-7907-01A
77 years, male, white, stage:Stage IIA, dead, 343 days
122.3
TCGA-55-6983-01A
81 years, male, white, stage:Stage IIB, alive, 2823 days
122.3
TCGA-55-A48Y-01A
69 years, male, white, stage:Stage IIA, alive, 630 days
122.2
TCGA-97-A4M5-01A
83 years, male, white, stage:Stage IA, alive, 634 days
121.9
TCGA-55-8085-01A
64 years, male, white, stage:Stage IA, alive, 904 days
121.9
TCGA-J2-8192-01A
65 years, female, white, stage:Stage IIA, alive, 739 days
121.7
TCGA-38-4632-01A
42 years, male, black or african american, stage:Stage IV, dead, 1357 days
121.6
TCGA-50-5045-01A
57 years, female, black or african american, stage:'--, dead, 2174 days
121.4
TCGA-44-8117-01A
54 years, female, white, stage:Stage IB, alive, 385 days
121.3
TCGA-64-1676-01A
58 years, male, white, stage:Stage IA, alive, 1728 days
121.3
TCGA-MP-A4TI-01A
72 years, male, white, stage:Stage IIA, dead, 429 days
121.2
TCGA-62-A472-01A
70 years, male, white, stage:Stage IIB, alive, 910 days
120.9
TCGA-L4-A4E5-01A
48 years, female, white, stage:Stage I, alive, 578 days
120.7
TCGA-78-7149-01A
71 years, male, white, stage:Stage IIIB, alive, 3940 days
120.7
TCGA-69-7763-01A
69 years, male, white, stage:Stage IA, alive, 690 days
120.6
TCGA-55-7283-01A
76 years, female, white, stage:Stage IIIA, alive, 609 days
120.3
TCGA-44-7661-01A
69 years, female, white, stage:Stage IB, dead, 557 days
120.0
TCGA-69-7764-01A
75 years, male, white, stage:Stage IA, alive, 414 days
119.7
TCGA-05-5425-01A
68 years, male, stage:Stage IIB, alive, 882 days
119.4
TCGA-91-6828-01A
70 years, male, white, stage:Stage IA, alive, 323 days
119.4
TCGA-49-AAQV-01A
63 years, female, black or african american, stage:Stage II, dead, 677 days
119.4
TCGA-05-4432-01A
66 years, male, stage:Stage IIB, alive, 761 days
119.1
TCGA-44-3918-01A
60 years, female, white, stage:Stage IA, alive, 1036 days
119.1
TCGA-49-4494-01A
77 years, male, white, stage:Stage IIIA, dead, 1081 days
119.0
TCGA-44-3398-01A
77 years, female, white, stage:Stage IA, alive, 1163 days
119.0
TCGA-MP-A4T7-01A
75 years, female, stage:Stage IV, dead, 167 days
118.3
TCGA-55-6979-01A
59 years, female, white, stage:Stage IIB, dead, 237 days
117.4
TCGA-50-5944-01A
69 years, female, white, stage:Stage IA, alive, 1750 days
117.2
TCGA-MP-A4TK-01A
56 years, female, stage:Stage IIB, dead, 582 days
117.0
TCGA-55-6543-01A
60 years, female, white, stage:Stage IA, alive, 435 days
116.5
TCGA-44-5643-01A
53 years, male, black or african american, stage:Stage IIIA, alive, 1013 days
116.3
TCGA-91-6830-01A
65 years, female, white, stage:Stage IIA, alive, 60 days
116.2
TCGA-67-3770-01A
70 years, female, white, stage:Stage IA, alive, 610 days
116.1
TCGA-55-A57B-01A
80 years, female, black or african american, stage:Stage IA, alive, 546 days
115.9
TCGA-69-7980-01A
70 years, female, white, stage:Stage I, alive, 411 days
115.2
TCGA-97-7937-01A
65 years, male, white, stage:Stage IB, alive, 564 days
115.2
TCGA-91-8496-01A
63 years, female, white, stage:Stage IB, alive, 505 days
115.1
TCGA-93-A4JN-01A
71 years, male, white, stage:Stage IV, alive, 718 days
115.1
TCGA-73-7499-01A
81 years, female, white, stage:Stage IB, dead, 1531 days
114.9
TCGA-55-8207-01A
73 years, male, white, stage:Stage IB, alive, 977 days
114.7
TCGA-05-5423-01A
65 years, male, stage:Stage IIB, alive, 151 days
114.6
TCGA-69-7974-01A
54 years, female, white, stage:Stage IIIA, alive, 184 days
114.4
TCGA-44-7669-01A
59 years, male, black or african american, stage:Stage IIA, dead, 574 days
114.3
TCGA-64-5815-01A
74 years, male, white, stage:Stage IIB, alive, 866 days
114.2
TCGA-78-7143-01A
62 years, female, white, stage:Stage IB, dead, 4961 days
114.1
TCGA-53-A4EZ-01A
63 years, male, white, stage:Stage IIA, alive, 1071 days
114.0
TCGA-MN-A4N5-01A
63 years, male, white, stage:Stage IA, alive, 84 days
114.0
TCGA-05-5428-01A
57 years, male, stage:Stage IIA, alive, 670 days
114.0
TCGA-55-8514-01A
70 years, female, black or african american, stage:Stage IB, alive, 520 days
113.9
TCGA-99-8025-01A
72 years, female, black or african american, stage:Stage IIIA, alive, 1060 days
113.7
TCGA-05-5715-01A
69 years, female, stage:Stage IB, alive, 62 days
113.6
TCGA-50-5942-01A
67 years, female, white, stage:Stage IA, alive, 1847 days
113.6
TCGA-50-5051-01A
42 years, female, white, stage:Stage IIIA, dead, 478 days
113.4
TCGA-MP-A4TA-01A
75 years, female, white, stage:Stage IA, dead, 950 days
113.2
TCGA-91-6848-01A
59 years, male, white, stage:Stage IIIA, alive, 224 days
113.2
TCGA-05-4420-01A
41 years, male, stage:Stage IB, alive, 912 days
112.9
TCGA-73-4676-01A
45 years, male, white, stage:Stage IIA, dead, 281 days
112.9
TCGA-62-A46Y-01A
70 years, female, white, stage:Stage IIIA, dead, 414 days
112.5
TCGA-55-8616-01A
58 years, female, white, stage:Stage IB, alive, 48 days
112.2
TCGA-MN-A4N4-01A
57 years, male, white, stage:Stage IA, alive, 1175 days
112.1
TCGA-44-4112-01A
60 years, female, white, stage:Stage IB, dead, 808 days
111.7
TCGA-55-7911-01A
70 years, female, white, stage:Stage IA, alive, 537 days
111.3
TCGA-55-8510-01A
55 years, female, white, stage:Stage IB, alive, 539 days
111.2
TCGA-73-7498-01A
58 years, female, white, stage:Stage IA, alive, 1189 days
111.0
TCGA-44-7670-01A
47 years, female, white, stage:Stage IIA, alive, 882 days
110.8
TCGA-62-8398-01A
55 years, male, white, stage:Stage IIIA, dead, 444 days
110.7
TCGA-55-7816-01A
49 years, female, white, stage:Stage IV, dead, 468 days
110.4
TCGA-55-6980-01A
56 years, male, white, stage:Stage IA, alive, 2109 days
110.4
TCGA-53-7813-01A
51 years, female, white, stage:Stage IIIB, alive, 424 days
110.4
TCGA-78-7633-01A
67 years, male, white, stage:Stage IB, dead, 1528 days
110.0
TCGA-78-8655-01A
77 years, female, stage:Stage IA, alive, 2360 days
109.9
TCGA-NJ-A4YG-01A
65 years, male, white, stage:Stage IB, alive, 2261 days
109.7
TCGA-50-5941-01A
55 years, female, white, stage:Stage IIIA, alive, 1474 days
109.6
TCGA-05-4417-01A
51 years, female, stage:Stage IB, alive, 455 days
109.5
TCGA-91-7771-01A
62 years, male, white, stage:Stage IIB, alive, 492 days
109.2
TCGA-49-AAR3-01A
69 years, male, black or african american, stage:Stage IIB, alive, 1893 days
109.1
TCGA-78-7167-01A
77 years, male, white, stage:Stage IV, dead, 2681 days
108.9
TCGA-78-7542-01A
56 years, male, white, stage:Stage IB, dead, 321 days
108.8
TCGA-05-5420-01A
67 years, male, stage:Stage IIIA, alive, 457 days
108.2
TCGA-05-4433-01A
82 years, male, stage:Stage IB, alive, 730 days
108.1
TCGA-44-2659-01A
65 years, female, white, stage:Stage IIB, alive, 1367 days
108.1
TCGA-78-7146-01A
71 years, female, white, stage:Stage IIIA, dead, 173 days
107.9
TCGA-MP-A4TD-01A
71 years, male, white, stage:Stage IIIA, dead, 307 days
107.8
TCGA-78-7152-01A
65 years, male, white, stage:Stage IB, dead, 1215 days
107.8
TCGA-49-AARO-01A
39 years, female, black or african american, stage:Stage IA, alive, 3759 days
107.7
TCGA-86-8280-01A
54 years, female, white, stage:Stage IIA, alive, 701 days
106.9
TCGA-50-5049-01A
70 years, male, white, stage:Stage IA, alive, 3094 days
106.5
TCGA-55-7227-01A
77 years, male, white, stage:Stage IIIA, dead, 952 days
106.4
TCGA-44-7662-01A
61 years, male, white, stage:Stage IB, alive, 218 days
106.2
TCGA-97-7553-01A
58 years, female, white, stage:Stage IA, alive, 1870 days
105.9
TCGA-44-7659-01A
70 years, male, white, stage:Stage IA, alive, 691 days
105.8
TCGA-62-A470-01A
84 years, male, white, stage:Stage IB, dead, 1194 days
105.7
TCGA-44-7671-01A
64 years, male, black or african american, stage:Stage IB, alive, 889 days
105.6
TCGA-55-8620-01A
60 years, male, white, stage:Stage IV, dead, 375 days
105.5
TCGA-95-7039-01A
54 years, female, white, stage:Stage IIB, alive, 1272 days
105.2
TCGA-75-7027-01A
male, stage:Stage IB, alive, 3059 days
105.1
TCGA-55-7727-01A
70 years, male, white, stage:Stage IIIA, alive, 119 days
104.6
TCGA-55-7725-01A
68 years, female, white, stage:Stage IA, alive, 442 days
104.6
TCGA-55-8506-01A
62 years, female, white, stage:Stage IIB, alive, 11 days
104.6
TCGA-O1-A52J-01A
74 years, female, white, stage:Stage IA, dead, 1798 days
104.5
TCGA-55-8205-01A
76 years, female, white, stage:Stage IIA, alive, 599 days
104.2
TCGA-05-4398-01A
47 years, female, stage:Stage IIIB, alive, 1431 days
103.9
TCGA-62-A471-01A
64 years, male, white, stage:Stage IIB, alive, 1246 days
103.8
TCGA-86-8076-01A
42 years, male, white, stage:Stage IA, alive, 993 days
103.8
TCGA-69-8253-01A
59 years, female, black or african american, stage:Stage IIA, alive, 426 days
103.3
TCGA-97-8176-01A
63 years, male, white, stage:Stage IIIA, dead, 468 days
103.2
TCGA-97-A4M1-01A
52 years, female, white, stage:Stage IA, alive, 601 days
101.9
TCGA-67-6215-01A
52 years, female, white, stage:Stage IB, alive, 174 days
101.7
TCGA-55-7914-01A
71 years, female, white, stage:Stage IIA, dead, 187 days
101.5
TCGA-50-5935-01A
86 years, female, white, stage:Stage IA, dead, 653 days
101.1
TCGA-55-6968-01A
61 years, male, white, stage:Stage IV, dead, 1293 days
101.1
TCGA-97-A4LX-01A
81 years, male, white, stage:Stage IB, alive, 614 days
100.9
TCGA-55-6985-01A
58 years, female, white, stage:Stage IB, alive, 1233 days
100.6
TCGA-53-7626-01A
76 years, female, white, stage:Stage IIA, dead, 929 days
100.4
TCGA-50-5939-01A
85 years, male, white, stage:Stage IB, dead, 460 days
100.3
TCGA-69-8453-01A
77 years, male, white, stage:Stage IIB, alive, 813 days
100.1
TCGA-78-7166-01A
84 years, male, white, stage:Stage IIB, dead, 258 days
99.7
TCGA-78-8660-01A
69 years, male, stage:Stage IIB, dead, 321 days
99.1
TCGA-67-3771-01A
77 years, female, black or african american, stage:Stage IA, alive, 610 days
99.0
TCGA-78-7150-01A
59 years, male, white, stage:Stage IIB, dead, 666 days
98.9
TCGA-55-7910-01A
50 years, female, black or african american, stage:Stage IIA, alive, 1040 days
98.6
TCGA-49-4506-01A
68 years, female, white, stage:Stage IIB, dead, 999 days
98.3
TCGA-97-8547-01A
78 years, female, stage:Stage IIIA, alive, 657 days
98.3
TCGA-50-5055-01A
79 years, female, white, stage:Stage IIA, dead, 1830 days
98.3
TCGA-69-8254-01A
85 years, male, white, stage:'--, alive, 409 days
98.2
TCGA-55-8096-01A
67 years, female, white, stage:Stage IB, dead, 719 days
98.0
TCGA-55-8097-01A
60 years, female, white, stage:Stage IA, alive, 476 days
97.8
TCGA-86-8359-01A
52 years, male, white, stage:Stage IIIA, dead, 444 days
97.1
TCGA-97-8172-01A
75 years, female, white, stage:Stage IB, alive, 545 days
96.9
TCGA-64-1681-01A
61 years, female, white, stage:Stage IA, dead, 1167 days
96.8
TCGA-78-7162-01A
75 years, male, white, stage:Stage IA, dead, 3169 days
96.5
TCGA-55-6982-01A
79 years, female, white, stage:Stage IIB, dead, 995 days
96.5
TCGA-44-3919-01A
71 years, female, white, stage:Stage IA, dead, 1026 days
96.3
TCGA-44-2661-01A
69 years, female, white, stage:Stage IA, alive, 1159 days
96.1
TCGA-55-8299-01A
61 years, female, white, stage:Stage IA, dead, 469 days
96.0
TCGA-71-8520-01A
60 years, female, asian, stage:Stage IB, dead, 210 days
95.9
TCGA-50-5933-01A
72 years, male, white, stage:Stage IIIB, dead, 2393 days
95.7
TCGA-69-7760-01A
73 years, male, white, stage:Stage IIB, alive, 202 days
95.6
TCGA-95-7948-01A
42 years, female, white, stage:Stage IB, alive, 476 days
95.5
TCGA-50-6593-01A
49 years, female, white, stage:Stage IIIA, dead, 336 days
95.2
TCGA-NJ-A55A-01A
76 years, female, white, stage:Stage IB, alive, 15 days
94.9
TCGA-97-8177-01A
59 years, female, white, stage:Stage IB, alive, 499 days
94.9
TCGA-55-8505-01A
62 years, male, white, stage:Stage IIIA, alive, 440 days
94.1
TCGA-49-6744-01A
64 years, female, white, stage:Stage IIA, alive, 1683 days
94.1
TCGA-55-7995-01A
73 years, female, white, stage:Stage IA, alive, 889 days
94.1
TCGA-75-5125-01A
male, stage:Stage IIB, dead, 2027 days
94.1
TCGA-55-7726-01A
72 years, female, white, stage:Stage IA, alive, 652 days
94.0
TCGA-95-A4VN-01A
62 years, female, white, stage:Stage IIA, alive, 553 days
93.9
TCGA-50-5044-01A
72 years, female, white, stage:Stage IIIB, dead, 624 days
93.6
TCGA-50-5068-01A
59 years, female, white, stage:Stage IIB, dead, 1499 days
93.0
TCGA-44-2656-01A
59 years, male, white, stage:Stage IB, alive, 1429 days
92.5
TCGA-55-7903-01A
64 years, male, white, stage:Stage IA, alive, 567 days
92.4
TCGA-NJ-A4YI-01A
87 years, female, white, stage:Stage IIIA, dead, 4 days
92.4
TCGA-64-5781-01A
55 years, female, white, stage:Stage IB, alive, 1559 days
92.4
TCGA-49-4512-01A
69 years, female, white, stage:Stage IIIA, dead, 905 days
92.4
TCGA-55-8301-01A
58 years, male, white, stage:Stage IB, alive, 534 days
92.3
TCGA-38-4626-01A
57 years, female, white, stage:'--, alive, 3674 days
92.1
TCGA-97-A4M7-01A
74 years, male, white, stage:Stage IA, alive, 629 days
92.0
TCGA-55-7573-01A
72 years, female, white, stage:Stage IA, alive, 487 days
91.4
TCGA-05-4403-01A
76 years, male, stage:Stage IB, alive, 578 days
90.7
TCGA-99-8032-01A
61 years, male, white, stage:Stage IA, alive, 44 days
90.6
TCGA-91-6849-01A
75 years, female, black or african american, stage:Stage IIIA, alive, 35 days
90.1
TCGA-L9-A50W-01A
75 years, male, black or african american, stage:Stage IIA, dead, 442 days
89.8
TCGA-93-7347-01A
76 years, female, white, stage:Stage IA, alive, 683 days
89.4
TCGA-38-7271-01A
72 years, female, white, stage:Stage IA, dead, 800 days
89.3
TCGA-55-6971-01A
59 years, female, white, stage:Stage IB, alive, 1400 days
88.8
TCGA-86-8671-01A
72 years, female, white, stage:Stage IIB, alive, 839 days
88.8
TCGA-MN-A4N1-01A
60 years, male, black or african american, stage:Stage IIA, alive, 827 days
88.4
TCGA-64-1680-01A
63 years, male, white, stage:Stage IV, alive, 1126 days
88.3
TCGA-L9-A443-01A
63 years, female, white, stage:Stage IA, dead, 193 days
88.3
TCGA-55-6984-01A
71 years, female, white, stage:Stage IIB, dead, 760 days
87.7
TCGA-L9-A8F4-01A
64 years, female, black or african american, stage:Stage IB, alive, 476 days
87.7
TCGA-44-6776-01A
60 years, female, white, stage:Stage IA, alive, 2616 days
87.6
TCGA-50-6673-01A
84 years, female, white, stage:Stage I, dead, 22 days
87.5
TCGA-86-A4P7-01A
63 years, female, white, stage:Stage IB, alive, 415 days
87.5
TCGA-73-4662-01A
65 years, female, white, stage:Stage IA, alive, 2515 days
87.1
TCGA-62-8395-01A
80 years, female, white, stage:Stage IIB, alive, 1216 days
86.7
TCGA-50-6592-01A
71 years, female, white, stage:Stage IB, dead, 777 days
86.2
TCGA-86-8668-01A
61 years, female, white, stage:Stage IA, alive, 423 days
86.1
TCGA-86-A456-01A
78 years, female, asian, stage:Stage IA, alive, 896 days
86.0
TCGA-93-7348-01A
75 years, female, white, stage:Stage IA, alive, 531 days
85.3
TCGA-93-A4JQ-01A
49 years, male, white, stage:Stage IA, alive, 526 days
85.2
TCGA-86-8672-01A
59 years, male, white, stage:Stage IIB, dead, 19 days
84.9
TCGA-55-A490-01A
78 years, male, white, stage:Stage IIA, dead, 99 days
84.6
TCGA-75-6206-01A
male, stage:Stage IB, alive, 2590 days
84.3
TCGA-99-7458-01A
74 years, female, white, stage:Stage IIIA, alive, 747 days
84.3
TCGA-97-8174-01A
67 years, male, white, stage:Stage IIA, dead, 164 days
84.1
TCGA-62-A46R-01A
54 years, female, white, stage:Stage IB, dead, 1725 days
83.9
TCGA-67-3772-01A
82 years, female, white, stage:Stage IB, alive, 573 days
83.8
TCGA-55-6712-01A
71 years, male, white, stage:Stage IIA, dead, 171 days
83.4
TCGA-55-8094-01A
51 years, male, white, stage:Stage IV, alive, 541 days
83.4
TCGA-05-4405-01A
74 years, female, stage:Stage IB, alive, 610 days
83.4
TCGA-55-8621-01A
75 years, female, white, stage:Stage IA, alive, 515 days
83.1
TCGA-35-4122-01A
69 years, male, white, stage:Stage IA, alive, 225 days
83.0
TCGA-55-A494-01A
61 years, female, white, stage:Stage IB, alive, 481 days
82.7
TCGA-49-4507-01A
73 years, female, white, stage:Stage IIIA, dead, 268 days
82.4
TCGA-38-4631-01A
72 years, female, white, stage:Stage IB, dead, 354 days
82.3
TCGA-NJ-A4YQ-01A
69 years, female, white, stage:Stage IA, alive, 1432 days
82.2
TCGA-78-7537-01A
72 years, male, stage:Stage IB, dead, 1622 days
81.7
TCGA-91-8497-01A
75 years, female, white, stage:Stage IA, dead, 434 days
81.6
TCGA-55-A492-01A
70 years, female, white, stage:Stage IA, alive, 596 days
81.4
TCGA-55-7574-01A
64 years, female, white, stage:Stage IB, dead, 995 days
81.1
TCGA-75-7025-01A
male, stage:Stage IB, alive, 3305 days
81.1
TCGA-44-6774-01A
56 years, female, white, stage:Stage IIIA, alive, 658 days
81.0
TCGA-49-4505-01A
61 years, female, white, stage:Stage IIB, dead, 428 days
80.7
TCGA-97-7938-01A
76 years, female, white, stage:Stage IA, dead, 18 days
80.7
TCGA-50-8459-01A
68 years, male, white, stage:Stage IIB, alive, 1119 days
80.6
TCGA-44-3396-01A
74 years, female, white, stage:Stage IIIA, alive, 1130 days
80.5
TCGA-MP-A4SW-01A
53 years, male, white, stage:Stage IIB, dead, 1778 days
80.5
TCGA-NJ-A7XG-01A
49 years, male, black or african american, stage:Stage IIIA, alive, 617 days
80.4
TCGA-75-6214-01A
female, stage:Stage IIIA, dead, 1115 days
80.3
TCGA-55-6987-01A
77 years, male, white, stage:Stage IA, alive, 2137 days
80.1
TCGA-L9-A5IP-01A
40 years, female, black or african american, stage:Stage IV, dead, 58 days
79.3
TCGA-55-A4DG-01A
71 years, male, white, stage:Stage IA, alive, 608 days
78.5
TCGA-49-4487-01A
72 years, female, white, stage:Stage IA, dead, 855 days
78.5
TCGA-67-3774-01A
73 years, female, white, stage:Stage IB, alive, 385 days
78.4
TCGA-44-6148-01A
60 years, male, white, stage:Stage IA, alive, 704 days
78.2
TCGA-97-7546-01A
76 years, female, white, stage:Stage IA, alive, 1285 days
77.6
TCGA-62-A46O-01A
65 years, female, white, stage:Stage IB, dead, 1454 days
77.6
TCGA-55-7724-01A
76 years, female, white, stage:Stage IB, alive, 705 days
77.5
TCGA-55-7281-01A
70 years, female, white, stage:Stage IA, alive, 872 days
77.3
TCGA-91-A4BD-01A
78 years, male, white, stage:Stage IIA, alive, 603 days
77.2
TCGA-MP-A4T4-01A
68 years, female, white, stage:Stage IIB, dead, 2617 days
77.2
TCGA-73-4675-01A
59 years, male, white, stage:Stage IIIA, dead, 922 days
76.5
TCGA-49-AARQ-01A
41 years, female, black or african american, stage:Stage I, alive, 6732 days
76.4
TCGA-44-6777-01A
85 years, female, white, stage:Stage IB, dead, 987 days
75.9
TCGA-99-8033-01A
74 years, female, white, stage:Stage IV, dead, 656 days
75.8
TCGA-53-7624-01A
40 years, female, white, stage:Stage IV, dead, 1043 days
75.6
TCGA-97-A4M2-01A
66 years, male, white, stage:Stage IA, alive, 624 days
75.4
TCGA-MP-A4TJ-01A
62 years, female, stage:Stage IA, dead, 339 days
75.3
TCGA-93-A4JO-01A
70 years, male, white, stage:Stage IA, dead, 33 days
75.3
TCGA-97-7554-01A
83 years, female, white, stage:Stage IIIA, alive, 775 days
75.2
TCGA-86-8056-01A
63 years, female, white, stage:Stage IIIA, alive, 139 days
75.0
TCGA-55-8089-01A
56 years, male, white, stage:Stage IA, dead, 702 days
74.7
TCGA-05-4382-01A
68 years, male, stage:Stage IB, alive, 607 days
74.5
TCGA-50-6590-01A
72 years, female, white, stage:Stage IB, dead, 1288 days
74.3
TCGA-55-8615-01A
67 years, male, white, stage:Stage IIIA, alive, 446 days
74.2
TCGA-NJ-A55R-01A
67 years, male, white, stage:Stage IA, alive, 603 days
73.8
TCGA-86-7701-01A
66 years, male, white, stage:Stage IV, alive, 947 days
73.7
TCGA-62-8397-01A
70 years, female, white, stage:Stage IIB, alive, 1289 days
73.7
TCGA-05-4418-01A
69 years, male, stage:Stage IIIA, dead, 274 days
73.5
TCGA-MP-A4TC-01A
77 years, male, white, stage:Stage IIIA, dead, 74 days
73.3
TCGA-05-4396-01A
76 years, male, stage:Stage IIIB, dead, 303 days
73.2
TCGA-49-AAR4-01A
51 years, male, black or african american, stage:Stage IIIA, dead, 879 days
73.2
TCGA-69-7978-01A
59 years, male, white, stage:Stage IIB, alive, 134 days
73.1
TCGA-J2-A4AG-01A
66 years, female, white, stage:Stage IA, alive, 988 days
73.0
TCGA-55-A48X-01A
63 years, female, white, stage:Stage IIA, alive, 689 days
72.9
TCGA-44-A4SS-01A
73 years, male, white, stage:Stage IA, alive, 415 days
72.7
TCGA-55-8208-01A
73 years, female, white, stage:Stage IA, alive, 674 days
72.7
TCGA-55-A493-01A
54 years, female, white, stage:Stage IB, alive, 28 days
72.4
TCGA-97-A4M0-01A
60 years, female, white, stage:Stage IB, alive, 652 days
71.8
TCGA-86-A4P8-01A
59 years, female, white, stage:Stage IIIA, alive, 805 days
71.5
TCGA-49-4510-01A
51 years, female, black or african american, stage:Stage IIB, dead, 896 days
71.1
TCGA-49-6761-01A
68 years, female, white, stage:Stage IIIA, alive, 354 days
70.8
TCGA-49-AARE-01A
51 years, female, black or african american, stage:Stage IA, dead, 1229 days
70.7
TCGA-62-A46S-01A
73 years, male, white, stage:Stage IB, dead, 1653 days
70.4
TCGA-73-4668-01A
66 years, female, american indian or alaska native, stage:Stage IIB, alive, 467 days
70.2
TCGA-38-A44F-01A
80 years, male, white, stage:Stage IB, alive, 133 days
70.1
TCGA-55-8512-01A
41 years, male, white, stage:Stage IV, dead, 607 days
70.0
TCGA-49-4486-01A
72 years, male, white, stage:Stage IA, dead, 2318 days
69.6
TCGA-75-5146-01A
male, stage:Stage IB, alive, 2368 days
69.6
TCGA-78-7535-01A
45 years, male, white, stage:Stage IB, dead, 949 days
69.5
TCGA-55-8513-01A
77 years, female, white, stage:Stage IIB, alive, 791 days
69.2
TCGA-50-8460-01A
74 years, male, white, stage:Stage IA, alive, 829 days
68.8
TCGA-L9-A444-01A
60 years, female, white, stage:Stage IA, alive, 307 days
68.7
TCGA-L9-A743-01A
56 years, male, black or african american, stage:Stage IIA, alive, 664 days
68.7
TCGA-55-A491-01A
81 years, female, white, stage:Stage IA, alive, 626 days
67.9
TCGA-44-A47G-01A
73 years, female, white, stage:Stage IA, alive, 351 days
67.5
TCGA-97-7552-01A
70 years, male, white, stage:Stage IB, alive, 1932 days
67.3
TCGA-44-6775-01A
72 years, female, white, stage:Stage IB, alive, 705 days
67.0
TCGA-91-A4BC-01A
59 years, male, white, stage:Stage IIA, alive, 44 days
66.6
TCGA-69-A59K-01A
60 years, female, black or african american, stage:Stage IIB, alive, 591 days
66.6
TCGA-97-8552-01A
55 years, female, white, stage:Stage I, alive, 626 days
66.5
TCGA-55-A48Z-01A
60 years, female, white, stage:Stage IIIB, alive, 651 days
66.5
TCGA-95-A4VP-01A
66 years, female, white, stage:Stage IIIA, alive, 605 days
66.4
TCGA-55-6642-01A
63 years, male, white, stage:Stage IB, alive, 2449 days
65.4
TCGA-69-7765-01A
56 years, male, black or african american, stage:'--, alive, 165 days
64.8
TCGA-L4-A4E6-01A
67 years, male, white, stage:Stage IA, alive, 435 days
64.6
TCGA-50-5930-01A
47 years, male, white, stage:Stage IIIA, dead, 282 days
64.6
TCGA-78-7163-01A
60 years, male, white, stage:Stage IB, alive, 7248 days
64.6
TCGA-50-6597-01A
79 years, female, white, stage:Stage IB, dead, 1268 days
64.6
TCGA-67-6217-01A
73 years, female, white, stage:Stage IIA, alive, 422 days
64.0
TCGA-J2-A4AE-01A
77 years, female, white, stage:Stage IA, alive, 1079 days
63.8
TCGA-64-5779-01A
61 years, male, white, stage:Stage IIIA, alive, 864 days
63.7
TCGA-44-7672-01A
52 years, female, white, stage:Stage IA, alive, 719 days
63.5
TCGA-NJ-A55O-01A
56 years, female, white, stage:Stage IIA, alive, 13 days
63.2
TCGA-44-2662-01A
65 years, male, white, stage:Stage IB, alive, 1280 days
63.2
TCGA-97-7547-01A
67 years, female, white, stage:Stage IB, alive, 1965 days
63.1
TCGA-55-7728-01A
64 years, female, white, stage:Stage IB, alive, 704 days
62.8
TCGA-95-7944-01A
71 years, male, white, stage:Stage IA, alive, 377 days
62.7
TCGA-05-4422-01A
68 years, male, stage:Stage IB, alive, 365 days
62.6
TCGA-69-7761-01A
84 years, male, white, stage:Stage IB, alive, 186 days
62.4
TCGA-44-6145-01A
62 years, female, white, stage:Stage IA, alive, 595 days
62.1
TCGA-44-2657-01A
74 years, female, white, stage:Stage IB, alive, 1351 days
61.8
TCGA-99-AA5R-01A
70 years, female, black or african american, stage:Stage IA, alive, 658 days
61.7
TCGA-44-A479-01A
73 years, female, black or african american, stage:Stage IB, alive, 486 days
61.6
TCGA-49-4514-01A
79 years, female, white, stage:Stage IA, alive, 1700 days
59.7
TCGA-55-8508-01A
60 years, female, black or african american, stage:Stage IIA, alive, 617 days
59.2
TCGA-44-5645-01A
61 years, female, black or african american, stage:Stage IA, alive, 852 days
57.7
TCGA-MP-A4TH-01A
70 years, female, white, stage:Stage IA, alive, 741 days
56.4
TCGA-49-AAR2-01A
64 years, male, black or african american, stage:Stage IB, alive, 2224 days
56.2
TCGA-99-8028-01A
50 years, female, black or african american, stage:Stage IA, alive, 1118 days
55.3
TCGA-55-8619-01A
72 years, female, white, stage:Stage IIB, alive, 416 days
55.0
TCGA-78-7540-01A
66 years, female, white, stage:Stage IB, dead, 1197 days
54.7
TCGA-49-AARR-01A
68 years, male, black or african american, stage:Stage IA, alive, 4992 days
53.8
TCGA-86-7711-01A
70 years, male, white, stage:Stage IIA, dead, 1046 days
51.8
TCGA-78-8648-01A
58 years, female, stage:Stage IIB, dead, 1209 days
51.1
TCGA-86-6851-01A
73 years, female, white, stage:Stage IIA, alive, 179 days
49.4
TCGA-44-5644-01A
51 years, female, white, stage:Stage IB, alive, 863 days
49.0
TCGA-86-8673-01A
61 years, male, white, stage:Stage IB, alive, 862 days
46.1
TCGA-55-8092-01A
75 years, male, white, stage:Stage IIB, dead, 154 days
43.3
TCGA-S2-AA1A-01A
68 years, female, black or african american, stage:Stage IA, alive, 513 days
40.0
TCGA-44-6146-01A
64 years, male, white, stage:Stage IIB, alive, 728 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.
APEX1 is not prognostic 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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
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.
N/A
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.
N/A
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
123.7
Number of samples
105
Samples
Sample
Description
TPM
L831
62 years, female, stage:Stage IB, alive, 2152 days
337.3
L746
64 years, female, stage:Stage IIIA, dead, 594 days
292.7
L532
69 years, female, stage:Stage IA, dead, 301 days
216.6
L551
62 years, male, stage:Stage IA, alive, 2924 days
204.0
L546
57 years, male, stage:Stage IA, dead, 973 days
201.2
L541
70 years, female, stage:Stage IIIA, dead, 915 days
184.6
L620
70 years, female, stage:Stage IIIA, dead, 338 days
177.9
L565
59 years, female, stage:Stage IB, dead, 543 days
172.3
L773
64 years, female, stage:Stage IV, dead, 311 days
171.5
L827
70 years, male, stage:Stage IIB, dead, 1105 days
165.0
L749
49 years, female, stage:Stage IIIA, dead, 189 days
164.3
L561
62 years, female, stage:Stage IA, alive, 2543 days
158.8
L842
62 years, female, stage:Stage IB, alive, 2005 days
157.9
L782
73 years, female, stage:Stage IIB, alive, 3371 days
157.9
L703
71 years, male, stage:Stage IIA, dead, 1137 days
156.4
L439
80 years, male, stage:Stage IIB, dead, 2773 days
155.7
L567
83 years, female, stage:Stage IIIA, dead, 1299 days
152.6
L638
65 years, male, stage:Stage IA, alive, 2076 days
151.6
L731
59 years, female, stage:Stage IA, dead, 964 days
151.5
L810
64 years, female, stage:Stage IIIA, dead, 625 days
151.0
L473
66 years, female, stage:Stage IA, alive, 3021 days
150.9
L462
67 years, male, stage:Stage IIIA, dead, 568 days
147.7
L446
71 years, female, stage:Stage IIB, dead, 415 days
146.6
L400
78 years, male, stage:Stage IIA, dead, 1233 days
145.9
L738
74 years, female, stage:Stage IB, dead, 1314 days
144.7
L764
66 years, male, stage:Stage IIIA, alive, 1684 days
144.5
L867
62 years, female, stage:Stage IIIA, dead, 317 days
143.2
L511
56 years, female, stage:Stage IIIA, alive, 2942 days
141.4
L613
72 years, male, stage:Stage IIIA, dead, 19 days
140.6
L808
48 years, female, stage:Stage IA, alive, 3001 days
138.3
L601
75 years, male, stage:Stage IB, dead, 2068 days
136.9
L689
69 years, male, stage:Stage IA, alive, 1943 days
136.8
L695
68 years, female, stage:Stage IB, dead, 1762 days
136.8
L413
72 years, female, stage:Stage IIIA, dead, 313 days
136.0
L612
80 years, female, stage:Stage IIIA, alive, 2410 days
133.5
L619
68 years, female, stage:Stage IIIA, dead, 1905 days
133.2
L484
64 years, female, stage:Stage IA, alive, 2895 days
132.5
L879
75 years, male, stage:Stage IV, dead, 873 days
130.9
L816
73 years, female, stage:Stage IIA, dead, 353 days
130.4
L607
59 years, male, stage:Stage IB, alive, 2572 days
129.7
L826
45 years, female, stage:Stage IV, dead, 935 days
129.4
L728
77 years, male, stage:Stage IIB, dead, 1128 days
129.2
L621
79 years, female, stage:Stage IIIA, dead, 1487 days
129.0
L531
74 years, male, stage:Stage IB, dead, 928 days
126.6
L683
77 years, female, stage:Stage IIA, dead, 612 days
125.4
L662
66 years, male, stage:Stage IA, dead, 865 days
124.1
L617
68 years, male, stage:Stage IIIA, dead, 238 days
123.1
L850
77 years, male, stage:Stage IIIA, dead, 997 days
119.8
L616
54 years, male, stage:Stage IA, dead, 410 days
119.7
L678
65 years, female, stage:Stage IB, dead, 1114 days
119.7
L838
71 years, female, stage:Stage IA, dead, 1005 days
118.4
L663
62 years, female, stage:Stage IB, alive, 2018 days
116.7
L596
74 years, female, stage:Stage IA, alive, 2319 days
116.3
L885
62 years, female, stage:Stage IA, alive, 1618 days
116.3
L440
80 years, male, stage:Stage IIB, dead, 651 days
115.6
L404
74 years, female, stage:Stage IIA, dead, 2318 days
115.6
L458
76 years, female, stage:Stage IA, dead, 223 days
115.2
L543
65 years, male, stage:Stage IA, alive, 2711 days
114.4
L766
59 years, male, stage:Stage IB, alive, 1793 days
114.0
L828
68 years, female, stage:Stage IIB, alive, 2222 days
113.4
L768
60 years, male, stage:Stage IIIA, dead, 472 days
112.7
L873
62 years, female, stage:Stage IA, alive, 1740 days
112.5
L401
74 years, male, stage:Stage IIIA, dead, 1888 days
110.8
L688
57 years, male, stage:Stage IIIA, dead, 789 days
110.7
L871
74 years, male, stage:Stage IB, dead, 873 days
110.5
L656
58 years, male, stage:Stage IA, alive, 2227 days
109.4
L851
70 years, male, stage:Stage IB, dead, 1315 days
108.8
L566
58 years, male, stage:Stage IB, alive, 2489 days
108.5
L875
69 years, female, stage:Stage IA, alive, 1675 days
105.0
L673
74 years, female, stage:Stage IA, dead, 568 days
104.8
L890
56 years, female, stage:Stage IIB, dead, 1264 days
104.7
L545
60 years, female, stage:Stage IA, alive, 2874 days
104.7
L455
52 years, female, stage:Stage IA, alive, 3315 days
104.2
L530
76 years, female, stage:Stage IIA, dead, 308 days
103.7
L829
76 years, male, stage:Stage IA, alive, 2173 days
102.9
L800
66 years, female, stage:Stage IA, dead, 2417 days
100.8
L887
77 years, male, stage:Stage IA, dead, 374 days
99.4
L791
66 years, female, stage:Stage IIIA, dead, 368 days
99.1
L865
75 years, female, stage:Stage IIB, alive, 1927 days
97.1
L832
65 years, female, stage:Stage IA, alive, 2145 days
96.8
L504
65 years, female, stage:Stage IA, dead, 1295 days
93.6
L682
64 years, female, stage:Stage IIB, dead, 840 days
92.8
L606
55 years, male, stage:Stage IA, alive, 2336 days
92.5
L874
56 years, female, stage:Stage IIIA, alive, 1733 days
92.2
L599
80 years, male, stage:Stage IB, dead, 2083 days
90.8
L602
69 years, female, stage:Stage IA, alive, 2277 days
89.1
L557
81 years, female, stage:Stage IB, alive, 2580 days
89.1
L605
74 years, female, stage:Stage IA, alive, 2460 days
88.9
L603
70 years, female, stage:Stage IB, dead, 972 days
88.0
L778
65 years, female, stage:Stage IA, alive, 1600 days
87.9
L872
71 years, female, stage:Stage IA, alive, 1793 days
87.5
L569
76 years, female, stage:Stage IA, alive, 2531 days
85.3
L593
78 years, male, stage:Stage IA, dead, 2436 days
84.3
L802
62 years, female, stage:Stage IA, dead, 773 days
83.6
L585
70 years, female, stage:Stage IIA, dead, 402 days
83.5
L752
65 years, male, stage:Stage IIIA, alive, 1647 days
83.0
L626
76 years, female, stage:Stage IA, dead, 1994 days
79.7
L735
75 years, female, stage:Stage IA, alive, 1830 days
79.2
L877
70 years, female, stage:Stage IA, alive, 1599 days
79.1
L493
56 years, female, stage:Stage IIB, alive, 2945 days
75.7
L725
64 years, female, stage:Stage IA, alive, 1830 days
72.0
L630
65 years, female, stage:Stage IA, dead, 1733 days
68.2
L880
75 years, female, stage:Stage IA, alive, 1767 days
59.5
L710
72 years, female, stage:Stage IIA, alive, 1775 days
57.4
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.
APEX1 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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
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.
N/A
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.
N/A
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
130.0
Number of samples
489
Samples
Sample
Description
TPM
TCGA-70-6723-01A
65 years, male, asian, stage:Stage IIA, alive, 375 days
444.4
TCGA-66-2800-01A
70 years, male, stage:Stage IIIB, alive, 1492 days
418.8
TCGA-O2-A52S-01A
57 years, female, white, stage:Stage III, dead, 387 days
387.9
TCGA-63-A5MJ-01A
54 years, male, stage:Stage IIB, alive, 1824 days
379.4
TCGA-85-6560-01A
59 years, male, white, stage:Stage IIA, alive, 1259 days
326.0
TCGA-22-1017-01A
62 years, male, white, stage:Stage IA, dead, 1485 days
305.5
TCGA-NK-A5D1-01A
57 years, male, white, stage:Stage IIA, alive, 511 days
297.7
TCGA-NC-A5HP-01A
69 years, male, white, stage:Stage IV, dead, 770 days
283.6
TCGA-18-3411-01A
63 years, female, stage:Stage IIIA, alive, 3576 days
282.7
TCGA-60-2716-01A
39 years, male, stage:Stage IIB, alive, 1475 days
267.3
TCGA-92-7341-01A
71 years, male, white, stage:Stage IB, alive, 106 days
267.2
TCGA-60-2708-01A
64 years, female, white, stage:Stage IIB, alive, 2447 days
265.6
TCGA-56-8083-01A
56 years, male, white, stage:Stage IB, alive, 150 days
263.3
TCGA-37-4141-01A
65 years, female, white, stage:Stage IA, alive, 12 days
255.3
TCGA-66-2757-01A
65 years, female, stage:Stage IA, dead, 1338 days
255.2
TCGA-85-A4QR-01A
67 years, male, white, stage:Stage IB, alive, 600 days
244.9
TCGA-56-8504-01A
74 years, male, white, stage:Stage IB, alive, 510 days
241.9
TCGA-51-4080-01A
65 years, male, black or african american, stage:Stage IIIB, dead, 12 days
238.2
TCGA-LA-A7SW-01A
71 years, male, black or african american, stage:Stage IIIA, dead, 408 days
238.0
TCGA-85-A53L-01A
63 years, male, asian, stage:Stage IIA, alive, 377 days
236.6
TCGA-66-2763-01A
63 years, female, stage:Stage IB, alive, 30 days
236.1
TCGA-56-1622-01A
58 years, male, white, stage:Stage IB, dead, 881 days
234.4
TCGA-21-1079-01A
71 years, male, white, stage:Stage IIIA, dead, 965 days
230.4
TCGA-85-A4JB-01A
74 years, male, white, stage:Stage IIB, alive, 942 days
226.2
TCGA-60-2724-01A
47 years, male, white, stage:Stage IIIA, alive, 717 days
225.1
TCGA-92-8064-01A
58 years, male, white, stage:'--, alive, 160 days
225.0
TCGA-60-2719-01A
83 years, female, white, stage:Stage IB, alive, 1297 days
223.8
TCGA-77-8148-01A
68 years, male, stage:Stage IIIA, alive, 2023 days
223.3
TCGA-O2-A5IB-01A
71 years, female, white, stage:Stage III, dead, 340 days
222.1
TCGA-22-4604-01A
73 years, male, white, stage:Stage IIA, dead, 399 days
221.8
TCGA-60-2706-01A
58 years, male, white, stage:Stage IA, alive, 2820 days
221.0
TCGA-77-7463-01A
75 years, male, white, stage:Stage IB, dead, 1423 days
219.5
TCGA-85-A510-01A
74 years, female, white, stage:Stage IIB, alive, 482 days
215.7
TCGA-L3-A524-01A
45 years, female, white, stage:Stage IIB, dead, 490 days
215.3
TCGA-43-2578-01A
59 years, female, white, stage:Stage IA, dead, 684 days
212.3
TCGA-60-2695-01A
74 years, female, white, stage:Stage IB, alive, 642 days
212.0
TCGA-85-8351-01A
72 years, male, white, stage:Stage IIA, alive, 510 days
210.9
TCGA-22-5478-01A
79 years, male, stage:Stage IB, dead, 24 days
206.0
TCGA-66-2756-01A
68 years, male, stage:Stage IIIB, alive, 30 days
206.0
TCGA-60-2711-01A
64 years, female, white, stage:Stage IB, alive, 1260 days
204.1
TCGA-56-7223-01A
66 years, male, white, stage:Stage IIIA, dead, 442 days
204.1
TCGA-58-A46M-01A
61 years, male, white, stage:Stage IIB, alive, 1072 days
203.8
TCGA-66-2754-01A
67 years, male, stage:Stage IIIA, alive, 61 days
203.5
TCGA-39-5021-01A
70 years, male, white, stage:Stage IB, dead, 2086 days
203.3
TCGA-NC-A5HH-01A
53 years, male, white, stage:Stage IA, alive, 37 days
201.9
TCGA-66-2765-01A
64 years, male, stage:Stage IB, alive, 61 days
201.5
TCGA-56-5898-01A
69 years, male, white, stage:Stage IA, alive, 555 days
201.3
TCGA-43-6143-01A
70 years, male, white, stage:Stage IB, alive, 699 days
201.1
TCGA-85-8664-01A
73 years, male, white, stage:Stage IIB, dead, 550 days
200.6
TCGA-43-A56V-01A
61 years, male, black or african american, stage:Stage IIIA, alive, 366 days
200.0
TCGA-56-8629-01A
63 years, male, white, stage:Stage IIA, alive, 481 days
198.4
TCGA-21-1078-01A
77 years, male, white, stage:Stage IB, dead, 474 days
197.1
TCGA-56-A62T-01A
78 years, male, black or african american, stage:Stage IIA, alive, 440 days
194.8
TCGA-85-A5B5-01A
58 years, male, white, stage:Stage IA, alive, 111 days
194.6
TCGA-77-8154-01A
67 years, male, stage:Stage IA, alive, 1841 days
194.4
TCGA-33-4532-01A
68 years, male, white, stage:Stage IB, dead, 3924 days
194.2
TCGA-51-4081-01A
55 years, male, white, stage:Stage IIB, alive, 911 days
193.9
TCGA-77-8144-01A
70 years, male, stage:Stage IB, alive, 833 days
193.4
TCGA-33-4586-01A
57 years, male, white, stage:Stage IIIA, dead, 428 days
192.2
TCGA-22-5472-01A
67 years, male, white, stage:Stage IB, dead, 1975 days
190.6
TCGA-66-2790-01A
72 years, male, stage:Stage IIB, alive, 699 days
190.2
TCGA-NC-A5HG-01A
59 years, male, white, stage:Stage IIIA, alive, 1963 days
189.7
TCGA-52-7811-01A
67 years, male, white, stage:Stage IB, dead, 266 days
187.5
TCGA-21-5783-01A
76 years, male, white, stage:Stage IB, dead, 2680 days
187.4
TCGA-22-5485-01A
58 years, female, white, stage:Stage IA, dead, 916 days
187.4
TCGA-18-5595-01A
50 years, male, stage:Stage IB, dead, 827 days
186.3
TCGA-33-4533-01A
76 years, female, black or african american, stage:Stage IB, alive, 4068 days
185.4
TCGA-66-2782-01A
71 years, male, stage:Stage IIB, dead, 365 days
185.4
TCGA-60-2722-01A
66 years, male, white, stage:Stage IIB, alive, 908 days
184.4
TCGA-66-2778-01A
68 years, female, stage:Stage IIIB, alive, 578 days
184.3
TCGA-77-7140-01A
69 years, female, white, stage:Stage IIB, dead, 632 days
183.6
TCGA-NK-A5CX-01A
73 years, male, white, stage:Stage IIA, alive, 111 days
182.9
TCGA-68-A59J-01A
74 years, female, white, stage:Stage IB, alive, 448 days
181.1
TCGA-60-2698-01A
62 years, male, white, stage:Stage IIB, dead, 311 days
180.3
TCGA-66-2744-01A
71 years, male, stage:Stage IIB, alive, 30 days
179.9
TCGA-21-5787-01A
65 years, male, black or african american, stage:Stage IIIA, dead, 329 days
179.4
TCGA-39-5037-01A
65 years, male, white, stage:Stage IIA, alive, 1690 days
178.1
TCGA-33-4566-01A
40 years, male, white, stage:Stage IB, dead, 5287 days
176.2
TCGA-37-3792-01A
69 years, male, white, stage:Stage IB, alive, 12 days
175.1
TCGA-18-3421-01A
65 years, male, white, stage:Stage IB, alive, 2645 days
174.8
TCGA-18-3409-01A
74 years, male, white, stage:Stage IA, alive, 3747 days
173.2
TCGA-56-7222-01A
60 years, male, white, stage:Stage IB, dead, 562 days
173.0
TCGA-NC-A5HT-01A
69 years, male, white, stage:Stage IIIA, alive, 804 days
171.6
TCGA-43-A474-01A
66 years, male, white, stage:Stage IIA, alive, 353 days
171.3
TCGA-98-A539-01A
63 years, male, white, stage:Stage IIB, alive, 173 days
170.9
TCGA-22-4607-01A
75 years, male, white, stage:Stage IB, dead, 587 days
170.7
TCGA-18-3408-01A
77 years, female, white, stage:Stage IB, dead, 2304 days
170.2
TCGA-56-8082-01A
80 years, female, white, stage:Stage IIA, alive, 455 days
169.9
TCGA-18-3414-01A
73 years, male, asian, stage:Stage IV, dead, 716 days
169.6
TCGA-21-1075-01A
57 years, male, white, stage:Stage IIB, alive, 2134 days
168.9
TCGA-39-5039-01A
76 years, male, white, stage:Stage IIA, dead, 544 days
168.4
TCGA-56-7730-01A
73 years, male, white, stage:Stage IIA, dead, 198 days
168.1
TCGA-22-A5C4-01A
70 years, male, white, stage:Stage IIA, alive, 671 days
167.6
TCGA-94-8035-01A
64 years, male, white, stage:Stage IIB, alive, 122 days
167.3
TCGA-37-4135-01A
68 years, male, white, stage:Stage IB, alive, 207 days
167.2
TCGA-63-7020-01A
male, stage:Stage IA, alive, 2133 days
167.0
TCGA-21-1082-01A
61 years, male, white, stage:Stage IB, alive, 3644 days
166.5
TCGA-60-2707-01A
70 years, male, stage:Stage IB, dead, 667 days
166.4
TCGA-18-5592-01A
57 years, male, stage:Stage IIB, alive, 1519 days
165.1
TCGA-85-7698-01A
48 years, male, white, stage:Stage IA, alive, 952 days
164.9
TCGA-77-8150-01A
64 years, male, stage:Stage IIIA, dead, 1655 days
164.8
TCGA-77-6845-01A
69 years, male, white, stage:Stage IIB, dead, 708 days
163.0
TCGA-22-4613-01A
73 years, female, white, stage:Stage IA, dead, 358 days
162.6
TCGA-66-2780-01A
65 years, male, stage:Stage IB, dead, 366 days
162.5
TCGA-94-7557-01A
73 years, male, black or african american, stage:Stage IB, dead, 5 days
160.6
TCGA-85-8071-01A
52 years, male, white, stage:Stage IIA, alive, 815 days
160.0
TCGA-98-A538-01A
67 years, male, white, stage:Stage IIB, alive, 826 days
160.0
TCGA-77-7142-01A
59 years, female, white, stage:Stage IB, alive, 2227 days
159.7
TCGA-NC-A5HM-01A
76 years, male, white, stage:Stage IB, alive, 1212 days
159.4
TCGA-77-8139-01A
72 years, male, stage:Stage IIB, alive, 3166 days
159.3
TCGA-43-8116-01A
73 years, male, white, stage:Stage IA, alive, 358 days
159.3
TCGA-63-A5MI-01A
65 years, male, stage:Stage IIIA, alive, 1784 days
159.2
TCGA-85-A50M-01A
47 years, male, asian, stage:Stage IIA, dead, 826 days
158.7
TCGA-56-A49D-01A
67 years, male, white, stage:Stage IIIA, alive, 637 days
158.1
TCGA-39-5019-01A
70 years, male, white, stage:Stage IB, alive, 3387 days
157.8
TCGA-66-2771-01A
60 years, male, stage:Stage IIB, alive, 578 days
156.9
TCGA-68-8251-01A
78 years, male, white, stage:Stage IB, alive, 406 days
156.8
TCGA-85-7699-01A
73 years, male, white, stage:Stage IIIA, dead, 1001 days
156.4
TCGA-66-2753-01A
69 years, male, stage:Stage IB, alive, 31 days
156.1
TCGA-22-5471-01A
75 years, male, white, stage:Stage IB, alive, 1845 days
156.1
TCGA-18-4721-01A
74 years, male, white, stage:Stage IA, alive, 4694 days
156.1
TCGA-98-8020-01A
56 years, female, black or african american, stage:Stage IIIA, dead, 84 days
155.6
TCGA-66-2792-01A
58 years, male, stage:Stage IIB, alive, 913 days
155.4
TCGA-66-2794-01A
64 years, male, stage:Stage IIIB, alive, 1645 days
155.0
TCGA-MF-A522-01A
54 years, male, white, stage:Stage IB, dead, 360 days
154.4
TCGA-66-2734-01A
62 years, female, stage:Stage IB, alive, 1311 days
154.4
TCGA-34-8455-01A
67 years, male, white, stage:Stage IV, dead, 123 days
153.5
TCGA-77-A5G3-01A
63 years, male, stage:Stage IIB, alive, 4570 days
153.5
TCGA-21-5782-01A
68 years, female, white, stage:Stage IB, dead, 962 days
153.5
TCGA-63-A5MY-01A
63 years, male, stage:Stage IA, alive, 1052 days
153.3
TCGA-90-7964-01A
70 years, male, white, stage:Stage IB, alive, 428 days
153.2
TCGA-98-A53I-01A
64 years, male, white, stage:Stage IIA, alive, 565 days
152.9
TCGA-22-4593-01A
77 years, male, white, stage:Stage IIA, dead, 1067 days
152.7
TCGA-77-7138-01A
67 years, male, stage:Stage IB, dead, 340 days
150.9
TCGA-39-5011-01A
70 years, female, white, stage:Stage IA, alive, 4053 days
150.6
TCGA-56-8304-01A
73 years, female, white, stage:Stage IA, alive, 106 days
150.4
TCGA-85-8666-01A
65 years, male, white, stage:Stage IB, dead, 687 days
150.4
TCGA-34-8456-01A
71 years, female, white, stage:Stage IIA, alive, 804 days
149.9
TCGA-77-8153-01A
77 years, female, stage:Stage IB, alive, 1992 days
149.8
TCGA-33-4587-01A
63 years, female, white, stage:Stage IB, dead, 1656 days
149.2
TCGA-60-2723-01A
74 years, female, white, stage:Stage IB, alive, 1092 days
149.2
TCGA-66-2768-01A
57 years, male, stage:Stage IIB, alive, 61 days
148.8
TCGA-77-8143-01A
76 years, male, stage:Stage IIIA, dead, 803 days
148.7
TCGA-52-7812-01A
68 years, male, white, stage:'--, dead, 835 days
148.6
TCGA-56-8624-01A
84 years, male, white, stage:Stage IIB, alive, 420 days
147.7
TCGA-34-7107-01A
70 years, male, white, stage:Stage II, dead, 34 days
147.3
TCGA-94-8490-01A
70 years, male, white, stage:Stage IIB, alive, 153 days
147.2
TCGA-37-4132-01A
61 years, female, white, stage:Stage IV, alive, 227 days
146.8
TCGA-92-8063-01A
52 years, male, white, stage:Stage IIIA, alive, 122 days
145.4
TCGA-77-7337-01A
65 years, male, white, stage:Stage IIB, dead, 3253 days
144.8
TCGA-96-8169-01A
67 years, female, white, stage:Stage IA, alive, 557 days
144.8
TCGA-43-7658-01A
75 years, female, white, stage:Stage IA, dead, 2378 days
144.6
TCGA-56-7221-01A
79 years, male, white, stage:Stage IB, alive, 608 days
144.5
TCGA-21-1072-01A
75 years, male, white, stage:Stage IB, alive, 3016 days
144.1
TCGA-39-5031-01A
76 years, female, stage:Stage IA, dead, 1841 days
143.9
TCGA-NC-A5HI-01A
68 years, female, white, stage:Stage IB, alive, 1743 days
143.8
TCGA-90-A4EE-01A
53 years, male, white, stage:Stage IIA, alive, 688 days
143.8
TCGA-85-A512-01A
46 years, male, white, stage:Stage IIA, alive, 465 days
143.5
TCGA-68-7756-01A
84 years, male, white, stage:Stage IIIA, alive, 202 days
143.0
TCGA-66-2791-01A
66 years, male, stage:Stage IIIB, dead, 153 days
142.9
TCGA-56-8201-01A
74 years, male, white, stage:Stage IIB, dead, 397 days
142.7
TCGA-63-A5MW-01A
76 years, male, stage:Stage IB, alive, 1639 days
142.1
TCGA-66-2795-01A
68 years, male, stage:Stage IIIB, alive, 122 days
142.0
TCGA-96-A4JK-01A
65 years, male, white, stage:Stage IIA, alive, 589 days
141.7
TCGA-66-2788-01A
56 years, male, stage:Stage IB, alive, 699 days
141.2
TCGA-66-2785-01A
65 years, male, stage:Stage IB, alive, 60 days
141.0
TCGA-21-1080-01A
66 years, male, white, stage:Stage IB, alive, 3724 days
140.1
TCGA-77-8128-01A
60 years, male, stage:Stage IIIA, dead, 1150 days
139.0
TCGA-77-A5G6-01A
66 years, male, stage:Stage IIIA, dead, 678 days
138.4
TCGA-90-7767-01A
56 years, male, white, stage:Stage IIB, alive, 89 days
138.3
TCGA-60-2715-01A
51 years, male, white, stage:Stage IA, dead, 1075 days
138.2
TCGA-63-A5MH-01A
68 years, male, stage:Stage IA, alive, 2026 days
137.9
TCGA-58-A46N-01A
52 years, male, white, stage:Stage IB, alive, 910 days
137.8
TCGA-22-5479-01A
64 years, male, white, stage:Stage IB, dead, 2625 days
137.7
TCGA-46-3765-01A
59 years, female, white, stage:Stage IA, alive, 405 days
137.5
TCGA-58-8390-01A
70 years, male, white, stage:Stage IIA, alive, 911 days
137.4
TCGA-85-7710-01A
59 years, female, white, stage:Stage IA, alive, 42 days
137.4
TCGA-33-4589-01A
62 years, female, white, stage:Stage IIB, dead, 47 days
137.3
TCGA-22-0944-01A
61 years, male, white, stage:Stage IB, dead, 223 days
137.1
TCGA-34-5927-01A
70 years, female, white, stage:Stage IA, alive, 1361 days
137.0
TCGA-43-5668-01A
78 years, male, white, stage:Stage IIA, dead, 559 days
136.9
TCGA-58-A46J-01A
64 years, male, white, stage:Stage IIB, alive, 2589 days
136.8
TCGA-58-8393-01A
68 years, female, white, stage:Stage IB, alive, 1058 days
136.8
TCGA-58-8387-01A
60 years, male, white, stage:Stage IIA, dead, 403 days
136.4
TCGA-66-2781-01A
67 years, male, stage:Stage IB, alive, 121 days
136.1
TCGA-39-5029-01A
67 years, male, white, stage:Stage IIIA, dead, 740 days
135.7
TCGA-68-7755-01A
60 years, female, white, stage:Stage IIA, alive, 83 days
135.3
TCGA-85-8355-01A
63 years, male, white, stage:Stage IA, alive, 61 days
135.3
TCGA-94-A4VJ-01A
71 years, female, white, stage:Stage IA, alive, 430 days
134.7
TCGA-22-1002-01A
69 years, male, white, stage:Stage IA, dead, 131 days
134.4
TCGA-L3-A4E7-01A
71 years, male, white, stage:Stage IB, alive, 392 days
134.3
TCGA-22-5477-01A
65 years, male, white, stage:Stage IA, dead, 1346 days
134.3
TCGA-52-7809-01A
74 years, male, white, stage:Stage IB, dead, 166 days
134.3
TCGA-77-8130-01A
69 years, male, stage:Stage IIB, alive, 4765 days
134.2
TCGA-56-8307-01A
55 years, female, white, stage:Stage IIB, alive, 818 days
133.8
TCGA-22-5491-01A
74 years, male, white, stage:Stage IA, dead, 1713 days
133.3
TCGA-66-2769-01A
75 years, male, stage:Stage IIIB, dead, 215 days
133.2
TCGA-18-3412-01A
52 years, male, white, stage:Stage IB, dead, 345 days
133.0
TCGA-77-8146-01A
72 years, male, stage:Stage IA, alive, 3189 days
132.6
TCGA-56-7580-01A
84 years, male, white, stage:Stage IB, alive, 925 days
132.6
TCGA-O2-A52W-01A
63 years, male, black or african american, stage:Stage I, dead, 261 days
132.6
TCGA-34-5231-01A
72 years, male, white, stage:Stage IA, dead, 1984 days
132.5
TCGA-51-6867-01A
72 years, female, white, stage:Stage I, dead, 1856 days
132.3
TCGA-18-3407-01A
72 years, male, asian, stage:Stage IB, dead, 136 days
132.1
TCGA-22-5492-01A
73 years, female, stage:Stage IIIA, dead, 506 days
131.7
TCGA-85-8352-01A
67 years, male, white, stage:Stage IIIA, dead, 161 days
131.5
TCGA-33-6738-01A
80 years, male, white, stage:Stage IIIA, alive, 1927 days
130.8
TCGA-18-3410-01A
81 years, male, stage:Stage IIB, dead, 146 days
130.6
TCGA-77-8138-01A
74 years, male, stage:Stage IB, dead, 539 days
130.4
TCGA-52-7810-01A
60 years, female, white, stage:Stage IIB, alive, 923 days
130.3
TCGA-NC-A5HF-01A
74 years, male, white, stage:Stage IIIB, dead, 138 days
130.2
TCGA-63-7023-01A
male, stage:Stage IIA, alive, 1682 days
130.0
TCGA-22-5482-01A
81 years, male, white, stage:Stage IB, dead, 357 days
129.9
TCGA-37-A5EM-01A
49 years, male, white, stage:Stage II, alive, 867 days
129.5
TCGA-85-7696-01A
64 years, male, white, stage:Stage IA, alive, 1111 days
129.4
TCGA-77-8007-01A
68 years, male, stage:Stage IIB, dead, 198 days
129.1
TCGA-60-2721-01A
73 years, male, white, stage:Stage IB, alive, 983 days
129.0
TCGA-O2-A52V-01A
75 years, female, black or african american, stage:Stage II, dead, 1335 days
128.2
TCGA-63-A5MV-01A
69 years, male, stage:Stage IIA, alive, 1100 days
128.1
TCGA-94-A5I6-01A
62 years, male, white, stage:Stage IIB, alive, 538 days
127.7
TCGA-33-6737-01A
71 years, male, white, stage:Stage IIIA, dead, 601 days
127.2
TCGA-96-7544-01A
83 years, male, white, stage:Stage IIB, dead, 2160 days
127.1
TCGA-98-8022-01A
61 years, male, white, stage:Stage IA, dead, 933 days
127.0
TCGA-22-4591-01A
80 years, male, white, stage:Stage IIIA, dead, 623 days
126.5
TCGA-33-AASB-01A
66 years, male, black or african american, stage:Stage IB, dead, 211 days
126.4
TCGA-56-6545-01A
77 years, female, white, stage:Stage IB, alive, 666 days
126.3
TCGA-34-5929-01A
78 years, female, white, stage:Stage IB, dead, 151 days
126.2
TCGA-58-8386-01A
75 years, male, stage:Stage IV, dead, 1 days
125.6
TCGA-66-2737-01A
72 years, male, stage:Stage IIB, alive, 61 days
125.6
TCGA-37-3789-01A
65 years, male, white, stage:Stage IB, alive, 13 days
125.6
TCGA-85-6175-01A
63 years, female, white, stage:Stage IIB, dead, 294 days
125.3
TCGA-18-3415-01A
77 years, male, stage:Stage IB, dead, 2803 days
124.7
TCGA-NC-A5HQ-01A
70 years, male, white, stage:Stage IIIA, dead, 448 days
124.6
TCGA-66-2770-01A
79 years, male, stage:Stage IB, alive, 700 days
124.5
TCGA-66-2783-01A
67 years, male, stage:Stage IIIB, alive, 759 days
124.2
TCGA-34-5236-01A
60 years, male, white, stage:Stage IIB, dead, 276 days
124.2
TCGA-33-AASI-01A
65 years, female, black or african american, stage:Stage IIB, dead, 1344 days
124.1
TCGA-52-7622-01A
62 years, female, white, stage:Stage IA, alive, 862 days
123.9
TCGA-22-5483-01A
74 years, male, white, stage:Stage IIA, dead, 573 days
123.7
TCGA-39-5016-01A
44 years, male, white, stage:Stage IIA, alive, 3850 days
123.6
TCGA-18-4086-01A
64 years, male, stage:Stage IB, dead, 85 days
123.4
TCGA-56-A4ZK-01A
76 years, female, white, stage:Stage IB, alive, 570 days
123.2
TCGA-51-4079-01A
73 years, female, black or african american, stage:Stage IB, dead, 12 days
123.1
TCGA-43-8118-01A
55 years, female, white, stage:Stage IA, dead, 89 days
123.1
TCGA-39-5036-01A
73 years, male, white, stage:Stage IB, alive, 2165 days
122.7
TCGA-33-4582-01A
55 years, male, white, stage:Stage IA, dead, 3149 days
122.3
TCGA-66-2777-01A
71 years, male, stage:Stage IB, alive, 61 days
122.2
TCGA-34-5241-01A
79 years, male, white, stage:Stage IB, dead, 515 days
122.2
TCGA-77-8133-01A
74 years, male, stage:Stage IIA, dead, 1640 days
122.1
TCGA-43-8115-01A
72 years, female, white, stage:Stage IIA, alive, 407 days
121.7
TCGA-56-8626-01A
59 years, male, white, stage:Stage IA, dead, 302 days
121.1
TCGA-85-A4CN-01A
56 years, female, white, stage:Stage IIB, alive, 1038 days
121.1
TCGA-77-8145-01A
73 years, male, stage:Stage IIIB, dead, 212 days
121.1
TCGA-21-1083-01A
75 years, male, white, stage:Stage IA, dead, 1315 days
121.0
TCGA-56-7731-01A
66 years, female, white, stage:Stage IB, dead, 3 days
120.9
TCGA-66-2759-01A
66 years, male, stage:Stage IIIA, alive, 762 days
119.7
TCGA-56-A4BX-01A
70 years, male, white, stage:Stage IIA, alive, 405 days
119.5
TCGA-63-A5MM-01A
69 years, female, stage:Stage IIB, dead, 456 days
119.1
TCGA-56-8625-01A
66 years, female, white, stage:Stage IIIA, dead, 315 days
118.6
TCGA-34-5234-01A
71 years, female, white, stage:Stage IA, alive, 2271 days
118.6
TCGA-85-8350-01A
61 years, male, white, stage:Stage IA, alive, 683 days
118.0
TCGA-37-4133-01A
63 years, male, white, stage:Stage IIIA, alive, 238 days
117.7
TCGA-58-8392-01A
70 years, male, white, stage:Stage IB, dead, 501 days
117.5
TCGA-18-4083-01A
63 years, male, white, stage:Stage IIB, dead, 188 days
117.0
TCGA-85-8052-01A
53 years, male, white, stage:Stage IIB, alive, 734 days
116.8
TCGA-77-6842-01A
79 years, male, white, stage:Stage IIB, dead, 899 days
116.7
TCGA-43-7656-01A
71 years, male, white, stage:Stage IA, alive, 596 days
116.4
TCGA-85-8276-01A
62 years, male, white, stage:Stage IIA, alive, 1050 days
116.3
TCGA-NC-A5HN-01A
77 years, male, white, stage:Stage IIA, alive, 1499 days
116.3
TCGA-77-8136-01A
74 years, female, stage:Stage IIB, dead, 1189 days
116.2
TCGA-58-8391-01A
57 years, female, white, stage:Stage IIIA, alive, 2167 days
115.9
TCGA-56-7579-01A
61 years, male, white, stage:Stage IIIA, dead, 951 days
115.4
TCGA-56-A5DR-01A
81 years, male, white, stage:Stage IA, alive, 4 days
115.1
TCGA-46-3769-01A
57 years, male, white, stage:'--, alive, 135 days
115.1
TCGA-43-A475-01A
67 years, female, white, stage:Stage IIB, alive, 296 days
115.1
TCGA-66-2793-01A
68 years, male, stage:Stage IIIB, dead, 306 days
114.9
TCGA-43-2581-01A
47 years, female, white, stage:Stage IIIA, alive, 1176 days
114.6
TCGA-85-8582-01A
49 years, male, white, stage:Stage IA, alive, 1160 days
114.1
TCGA-33-4583-01A
73 years, male, white, stage:Stage IA, dead, 4601 days
113.8
TCGA-85-8580-01A
52 years, female, white, stage:Stage IB, alive, 1113 days
113.6
TCGA-98-8021-01A
75 years, female, white, stage:Stage IA, alive, 937 days
113.4
TCGA-22-5481-01A
72 years, female, white, stage:Stage IIB, dead, 2409 days
113.3
TCGA-66-2773-01A
69 years, male, stage:Stage IB, dead, 92 days
113.2
TCGA-66-2742-01A
70 years, male, stage:Stage IV, alive, 641 days
113.1
TCGA-22-4595-01A
57 years, male, white, stage:Stage IIIA, dead, 734 days
112.9
TCGA-85-7697-01A
49 years, male, white, stage:Stage IIB, alive, 1063 days
112.9
TCGA-56-A5DS-01A
72 years, female, white, stage:Stage IB, alive, 8 days
112.6
TCGA-21-1077-01A
64 years, male, white, stage:Stage IIB, dead, 1058 days
112.2
TCGA-34-5928-01A
83 years, female, white, stage:Stage IIB, alive, 1196 days
111.2
TCGA-46-6026-01A
81 years, male, white, stage:Stage IIB, alive, 423 days
111.0
TCGA-34-2600-01A
76 years, female, white, stage:Stage IA, dead, 1874 days
110.3
TCGA-58-8388-01A
60 years, male, white, stage:Stage IB, dead, 412 days
110.1
TCGA-22-4605-01A
78 years, female, stage:Stage IB, dead, 974 days
109.8
TCGA-56-7582-01A
83 years, male, white, stage:Stage IB, alive, 601 days
109.6
TCGA-34-5232-01A
75 years, female, black or african american, stage:Stage IIA, alive, 2471 days
109.4
TCGA-98-A53A-01A
70 years, male, black or african american, stage:Stage IB, dead, 552 days
108.9
TCGA-60-2725-01A
74 years, male, white, stage:Stage IB, alive, 816 days
108.4
TCGA-60-2713-01A
64 years, male, white, stage:Stage IB, alive, 1731 days
108.3
TCGA-33-AASJ-01A
60 years, male, black or african american, stage:Stage IB, dead, 3600 days
107.9
TCGA-85-A4QQ-01A
68 years, male, white, stage:Stage IB, dead, 927 days
107.7
TCGA-94-7033-01A
73 years, male, white, stage:Stage IB, alive, 640 days
107.6
TCGA-21-1076-01A
54 years, female, white, stage:Stage IB, alive, 1852 days
107.4
TCGA-39-5040-01A
59 years, male, white, stage:Stage IIIA, dead, 519 days
107.4
TCGA-58-A46L-01A
73 years, male, white, stage:Stage IIIA, alive, 1723 days
107.3
TCGA-85-8479-01A
66 years, male, white, stage:Stage IA, alive, 468 days
107.0
TCGA-66-2787-01A
57 years, male, stage:Stage IA, alive, 1217 days
106.9
TCGA-63-A5ML-01A
68 years, male, stage:Stage IB, alive, 1386 days
106.4
TCGA-43-6647-01A
69 years, female, white, stage:Stage IIB, alive, 757 days
106.0
TCGA-77-8009-01A
68 years, male, stage:Stage IIB, dead, 1695 days
105.9
TCGA-NC-A5HO-01A
70 years, female, white, stage:Stage IIIA, alive, 1336 days
105.7
TCGA-34-2596-01A
70 years, male, white, stage:Stage IIB, dead, 80 days
105.6
TCGA-46-3768-01A
58 years, male, white, stage:Stage IIIA, dead, 299 days
105.5
TCGA-39-5027-01A
73 years, male, white, stage:Stage IB, alive, 3108 days
105.4
TCGA-66-2727-01A
55 years, female, stage:Stage IB, dead, 516 days
105.4
TCGA-85-A50Z-01A
57 years, male, white, stage:Stage IIA, alive, 493 days
104.4
TCGA-37-A5EL-01A
53 years, male, white, stage:Stage IIB, dead, 1143 days
104.3
TCGA-85-8354-01A
53 years, male, white, stage:Stage IB, alive, 995 days
103.9
TCGA-22-5480-01A
66 years, female, white, stage:Stage IA, dead, 2170 days
103.6
TCGA-85-A511-01A
62 years, male, white, stage:Stage IIB, dead, 455 days
103.4
TCGA-70-6722-01A
47 years, male, asian, stage:Stage IIIA, alive, 367 days
103.2
TCGA-77-7465-01A
58 years, male, white, stage:Stage IIA, alive, 990 days
103.1
TCGA-98-A53B-01A
69 years, male, white, stage:Stage IB, dead, 61 days
103.0
TCGA-34-2608-01A
84 years, male, white, stage:Stage IB, dead, 1000 days
102.9
TCGA-18-3419-01A
73 years, male, stage:Stage IIB, alive, 2811 days
102.7
TCGA-18-3417-01A
65 years, male, stage:Stage IV, dead, 1097 days
102.3
TCGA-22-4599-01A
73 years, female, white, stage:Stage IB, dead, 1161 days
102.2
TCGA-60-2710-01A
67 years, female, white, stage:Stage IIA, alive, 2024 days
102.0
TCGA-O2-A52Q-01A
44 years, female, white, stage:Stage III, dead, 113 days
102.0
TCGA-60-2696-01A
76 years, female, black or african american, stage:Stage IIA, dead, 109 days
101.6
TCGA-94-7943-01A
80 years, male, white, stage:Stage IA, alive, 559 days
101.5
TCGA-56-8622-01A
68 years, male, white, stage:Stage IB, alive, 55 days
101.5
TCGA-60-2703-01A
73 years, male, white, stage:Stage IIB, dead, 2945 days
101.5
TCGA-37-4129-01A
52 years, female, white, stage:Stage IA, alive, 242 days
101.2
TCGA-85-8277-01A
70 years, male, white, stage:Stage IIIA, dead, 307 days
101.2
TCGA-85-6561-01A
66 years, male, white, stage:Stage IB, alive, 1224 days
101.1
TCGA-56-A4ZJ-01A
75 years, female, white, stage:Stage IA, alive, 640 days
101.0
TCGA-92-7340-01A
45 years, female, white, stage:Stage IIA, alive, 82 days
100.8
TCGA-66-2755-01A
63 years, male, stage:Stage IB, alive, 28 days
100.6
TCGA-56-8628-01A
78 years, male, white, stage:Stage IA, alive, 616 days
100.5
TCGA-77-8156-01A
60 years, male, stage:Stage IB, alive, 1106 days
100.3
TCGA-NC-A5HR-01A
75 years, female, white, stage:Stage IIA, alive, 1244 days
100.3
TCGA-94-A5I4-01A
61 years, male, white, stage:Stage IIA, alive, 491 days
100.1
TCGA-37-A5EN-01A
59 years, male, white, stage:Stage IIIB, alive, 660 days
100.0
TCGA-21-1070-01A
60 years, female, black or african american, stage:Stage IIIA, alive, 3636 days
99.7
TCGA-98-8023-01A
70 years, male, white, stage:Stage IIIA, alive, 649 days
99.5
TCGA-43-6770-01A
59 years, female, black or african american, stage:Stage IB, alive, 653 days
99.4
TCGA-77-7335-01A
62 years, female, white, stage:Stage IIIB, dead, 2133 days
99.1
TCGA-43-5670-01A
70 years, male, white, stage:Stage IIA, alive, 849 days
98.4
TCGA-34-5240-01A
73 years, female, white, stage:Stage IIB, alive, 1541 days
98.1
TCGA-56-A4BY-01A
66 years, male, white, stage:Stage IB, dead, 543 days
97.5
TCGA-77-A5GF-01A
70 years, male, stage:Stage IIA, dead, 840 days
97.5
TCGA-NC-A5HD-01A
79 years, male, white, stage:Stage IIB, dead, 2 days
97.1
TCGA-85-8481-01A
70 years, male, white, stage:Stage IIB, dead, 236 days
96.9
TCGA-85-A4CL-01A
65 years, male, white, stage:Stage IA, dead, 921 days
96.7
TCGA-85-8288-01A
70 years, male, white, stage:Stage IIA, dead, 402 days
96.3
TCGA-77-7139-01A
56 years, male, white, stage:Stage IIB, alive, 4261 days
96.2
TCGA-66-2767-01A
62 years, male, stage:Stage IIIB, alive, 61 days
95.9
TCGA-77-8131-01A
72 years, male, stage:Stage IB, dead, 383 days
95.4
TCGA-39-5034-01A
73 years, female, white, stage:Stage IIB, dead, 1107 days
94.9
TCGA-39-5028-01A
75 years, male, white, stage:Stage IIIA, dead, 52 days
94.7
TCGA-85-6798-01A
57 years, male, white, stage:Stage IIIA, dead, 195 days
93.7
TCGA-85-8353-01A
72 years, male, white, stage:Stage IIIA, dead, 94 days
93.6
TCGA-56-8305-01A
72 years, male, white, stage:Stage IB, alive, 105 days
93.5
TCGA-37-4130-01A
56 years, male, white, stage:Stage IA, alive, 247 days
93.4
TCGA-85-7950-01A
46 years, male, white, stage:Stage IB, alive, 576 days
93.2
TCGA-46-3767-01A
76 years, male, white, stage:Stage IA, alive, 396 days
92.7
TCGA-77-6844-01A
74 years, male, white, stage:Stage IIIA, dead, 2284 days
92.5
TCGA-NC-A5HJ-01A
59 years, male, white, stage:Stage IIB, dead, 418 days
92.4
TCGA-43-6771-01A
85 years, male, white, stage:Stage IB, dead, 166 days
92.4
TCGA-LA-A446-01A
68 years, male, white, stage:Stage IA, alive, 401 days
91.7
TCGA-34-5239-01A
75 years, male, white, stage:Stage IIIA, alive, 1834 days
91.1
TCGA-68-8250-01A
66 years, male, black or african american, stage:Stage IA, alive, 244 days
90.9
TCGA-96-8170-01A
75 years, female, white, stage:Stage IIA, alive, 531 days
90.8
TCGA-66-2758-01A
71 years, male, stage:Stage IB, alive, 639 days
90.7
TCGA-85-8584-01A
71 years, male, white, stage:Stage IIA, dead, 383 days
90.6
TCGA-56-8503-01A
76 years, female, white, stage:Stage IIB, alive, 41 days
90.4
TCGA-22-5473-01A
78 years, male, white, stage:'--, dead, 1933 days
90.3
TCGA-63-A5MP-01A
56 years, male, stage:Stage IIB, alive, 769 days
90.3
TCGA-21-1071-01A
67 years, male, white, stage:Stage IB, dead, 1426 days
90.0
TCGA-66-2786-01A
68 years, female, stage:Stage IA, alive, 790 days
89.9
TCGA-63-A5MR-01A
70 years, female, stage:Stage IB, alive, 2716 days
89.5
TCGA-22-4594-01A
60 years, female, stage:Stage IIIA, dead, 1470 days
89.3
TCGA-63-A5MG-01A
68 years, male, stage:Stage IB, alive, 2148 days
89.3
TCGA-46-6025-01A
71 years, male, white, stage:Stage IIB, alive, 324 days
89.1
TCGA-60-2720-01A
60 years, female, white, stage:Stage IB, alive, 97 days
88.9
TCGA-21-5786-01A
64 years, male, white, stage:Stage IB, alive, 1032 days
88.8
TCGA-18-3416-01A
83 years, male, stage:Stage IIB, dead, 973 days
87.5
TCGA-J1-A4AH-01A
70 years, male, white, stage:Stage IIA, alive, 581 days
86.6
TCGA-22-1016-01A
65 years, male, white, stage:Stage IB, dead, 822 days
86.2
TCGA-63-A5MB-01A
62 years, male, stage:Stage IB, alive, 3123 days
86.2
TCGA-22-5489-01A
64 years, male, white, stage:Stage IA, dead, 1912 days
86.1
TCGA-77-6843-01A
74 years, male, white, stage:Stage IIA, dead, 2224 days
85.8
TCGA-85-A4PA-01A
61 years, male, white, stage:Stage IB, alive, 741 days
85.3
TCGA-33-4538-01A
66 years, male, white, stage:Stage IIIA, dead, 2979 days
85.0
TCGA-85-8048-01A
62 years, male, white, stage:Stage IA, alive, 765 days
84.5
TCGA-O2-A52N-01A
78 years, male, white, stage:Stage I, dead, 1006 days
84.2
TCGA-96-A4JL-01A
78 years, female, asian, stage:Stage IIA, alive, 842 days
84.0
TCGA-58-A46K-01A
59 years, male, white, stage:Stage IIIA, dead, 1045 days
83.5
TCGA-77-A5G1-01A
75 years, male, stage:Stage IIIA, alive, 4026 days
83.2
TCGA-46-3766-01A
62 years, female, white, stage:Stage IA, alive, 370 days
83.1
TCGA-21-1081-01A
69 years, male, white, stage:Stage IIB, dead, 284 days
82.7
TCGA-63-6202-01A
male, stage:Stage IIA, alive, 1602 days
82.2
TCGA-21-A5DI-01A
77 years, male, white, stage:Stage IA, alive, 979 days
81.9
TCGA-22-5474-01A
74 years, male, white, stage:Stage IB, dead, 445 days
81.6
TCGA-43-2576-01A
62 years, female, white, stage:Stage IIIA, alive, 1223 days
81.2
TCGA-56-8308-01A
79 years, male, white, stage:Stage IIB, alive, 517 days
81.0
TCGA-60-2709-01A
69 years, male, black or african american, stage:Stage IB, alive, 1505 days
80.9
TCGA-85-7844-01A
71 years, male, white, stage:Stage IB, alive, 911 days
80.8
TCGA-43-3920-01A
71 years, male, white, stage:Stage IB, alive, 1007 days
80.6
TCGA-22-1012-01A
80 years, female, white, stage:Stage IB, dead, 429 days
80.5
TCGA-96-7545-01A
73 years, male, white, stage:Stage IA, dead, 1736 days
80.1
TCGA-NK-A5CR-01A
77 years, male, stage:Stage IB, alive, 2542 days
80.1
TCGA-60-2714-01A
66 years, female, white, stage:Stage IIB, alive, 1531 days
79.3
TCGA-66-2766-01A
54 years, male, stage:Stage IIIA, alive, 31 days
79.3
TCGA-77-A5GA-01A
76 years, male, stage:Stage IB, alive, 1280 days
78.8
TCGA-85-8072-01A
60 years, male, white, stage:Stage IA, alive, 932 days
78.6
TCGA-90-6837-01A
64 years, male, white, stage:Stage IIB, alive, 758 days
78.5
TCGA-22-4601-01A
73 years, female, white, stage:Stage IIIA, dead, 1057 days
78.4
TCGA-22-4609-01A
81 years, male, white, stage:Stage IA, dead, 291 days
78.2
TCGA-98-A53D-01A
68 years, male, white, stage:Stage IIB, dead, 645 days
78.2
TCGA-43-3394-01A
52 years, male, black or african american, stage:Stage IB, dead, 1190 days
78.1
TCGA-77-7141-01A
64 years, male, white, stage:Stage IB, alive, 15 days
77.9
TCGA-22-4596-01A
69 years, female, white, stage:Stage IB, dead, 17 days
77.9
TCGA-77-8140-01A
66 years, female, stage:Stage IIB, dead, 351 days
77.8
TCGA-85-8049-01A
57 years, male, white, stage:Stage IB, alive, 579 days
77.7
TCGA-98-A53H-01A
76 years, female, white, stage:Stage IA, alive, 618 days
77.4
TCGA-34-A5IX-01A
80 years, male, white, stage:Stage IIB, alive, 1031 days
77.2
TCGA-63-A5MS-01A
78 years, male, stage:Stage IB, alive, 2381 days
77.2
TCGA-77-7338-01A
64 years, male, white, stage:Stage IB, dead, 5 days
76.8
TCGA-39-5035-01A
72 years, female, white, stage:Stage IA, alive, 2080 days
76.7
TCGA-33-AAS8-01A
59 years, female, black or african american, stage:Stage IA, dead, 1114 days
76.7
TCGA-56-5897-01A
74 years, male, white, stage:Stage IA, alive, 378 days
76.6
TCGA-66-2789-01A
73 years, male, stage:Stage IIIB, dead, 123 days
76.1
TCGA-56-8623-01A
71 years, male, white, stage:Stage IB, dead, 692 days
75.7
TCGA-37-5819-01A
64 years, male, white, stage:Stage IIIA, alive, 103 days
75.6
TCGA-34-8454-01A
62 years, female, white, stage:Stage IIIA, alive, 1180 days
74.7
TCGA-22-0940-01A
71 years, male, white, stage:Stage IIA, dead, 669 days
73.6
TCGA-22-1000-01A
76 years, male, white, stage:Stage IB, dead, 454 days
70.6
TCGA-33-AASD-01A
83 years, male, black or african american, stage:Stage IA, dead, 2249 days
70.5
TCGA-NC-A5HL-01A
73 years, male, white, stage:Stage IIA, dead, 88 days
68.7
TCGA-90-A4ED-01A
69 years, male, white, stage:Stage IB, alive, 615 days
68.0
TCGA-18-3406-01A
67 years, male, white, stage:Stage IA, dead, 371 days
67.7
TCGA-92-8065-01A
74 years, female, white, stage:Stage IIB, alive, 70 days
67.7
TCGA-43-7657-01A
68 years, female, white, stage:Stage IA, alive, 236 days
67.4
TCGA-63-7022-01A
female, stage:Stage IA, alive, 2073 days
67.1
TCGA-56-8309-01A
66 years, male, white, stage:Stage IA, alive, 428 days
67.1
TCGA-77-A5FZ-01A
64 years, male, stage:Stage IIIB, dead, 3838 days
66.1
TCGA-NC-A5HE-01A
60 years, male, white, stage:Stage IIB, alive, 2336 days
65.8
TCGA-85-A4JC-01A
84 years, male, white, stage:Stage IIA, dead, 604 days
65.2
TCGA-85-8287-01A
72 years, male, white, stage:Stage IA, dead, 23 days
64.7
TCGA-63-7021-01A
male, stage:Stage IA, alive, 2142 days
64.1
TCGA-XC-AA0X-01A
77 years, female, black or african american, stage:Stage IA, dead, 6 days
63.5
TCGA-98-7454-01A
73 years, male, white, stage:Stage IB, alive, 652 days
63.4
TCGA-21-5784-01A
80 years, female, white, stage:Stage IB, alive, 1268 days
63.2
TCGA-98-A53C-01A
77 years, female, white, stage:Stage IA, alive, 822 days
63.1
TCGA-60-2697-01A
41 years, male, white, stage:Stage IIA, dead, 372 days
62.9
TCGA-90-7766-01A
66 years, female, white, stage:Stage IA, alive, 289 days
62.8
TCGA-33-A5GW-01A
67 years, male, white, stage:Stage IIA, dead, 9 days
62.8
TCGA-63-A5MT-01A
74 years, male, stage:Stage IIB, alive, 498 days
62.7
TCGA-33-4547-01A
68 years, male, white, stage:Stage IB, alive, 2419 days
62.7
TCGA-22-1011-01A
73 years, male, white, stage:Stage IB, dead, 53 days
61.7
TCGA-39-5022-01A
76 years, male, white, stage:Stage IB, dead, 1679 days
61.7
TCGA-94-8491-01A
73 years, male, white, stage:Stage IIA, alive, 810 days
61.5
TCGA-NK-A5CT-01A
70 years, male, white, stage:Stage IA, alive, 1997 days
61.2
TCGA-63-A5MN-01A
78 years, female, stage:Stage IIB, dead, 345 days
60.2
TCGA-77-A5GH-01A
81 years, male, stage:Stage IB, alive, 1182 days
60.2
TCGA-77-8008-01A
68 years, male, stage:Stage IB, dead, 2639 days
60.1
TCGA-60-2726-01A
56 years, male, white, stage:Stage IIA, dead, 358 days
59.6
TCGA-68-A59I-01A
73 years, female, black or african american, stage:Stage IIIA, alive, 492 days
59.3
TCGA-NC-A5HK-01A
58 years, female, white, stage:Stage IIB, alive, 128 days
59.0
TCGA-33-A4WN-01A
60 years, male, white, stage:Stage IB, dead, 143 days
57.3
TCGA-85-8070-01A
71 years, male, white, stage:Stage IB, alive, 960 days
56.7
TCGA-90-7769-01A
55 years, male, white, stage:Stage IIB, alive, 358 days
56.3
TCGA-85-7843-01A
50 years, male, white, stage:Stage IIA, alive, 35 days
55.6
TCGA-NK-A7XE-01A
66 years, male, black or african american, stage:Stage IIIB, alive, 13 days
55.3
TCGA-60-2712-01A
79 years, female, white, stage:Stage IIB, dead, 274 days
55.1
TCGA-60-2704-01A
73 years, male, white, stage:Stage IIB, dead, 1154 days
54.9
TCGA-56-7822-01A
75 years, male, black or african american, stage:Stage IIB, dead, 532 days
54.7
TCGA-98-A53J-01A
77 years, male, white, stage:Stage IB, alive, 630 days
54.2
TCGA-56-A4BW-01A
55 years, male, white, stage:Stage IIA, alive, 585 days
52.8
TCGA-39-5030-01A
81 years, female, asian, stage:Stage IIIA, dead, 59 days
52.7
TCGA-37-3783-01A
51 years, male, white, stage:Stage IIIA, alive, 122 days
52.1
TCGA-39-5024-01A
65 years, female, white, stage:Stage IIIA, alive, 2510 days
46.6
TCGA-85-A513-01A
60 years, female, asian, stage:Stage IA, alive, 910 days
42.1
TCGA-90-A59Q-01A
61 years, female, white, stage:Stage IIA, dead, 322 days
41.5
TCGA-43-6773-01A
76 years, male, white, stage:Stage IIB, dead, 116 days
38.3
TCGA-33-AASL-01A
57 years, female, black or african american, stage:Stage IA, dead, 826 days
38.2
TCGA-22-1005-01A
63 years, male, white, stage:Stage IA, dead, 1953 days
37.8
TCGA-43-A56U-01A
76 years, female, white, stage:Stage IA, alive, 432 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.
APEX1 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.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
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.
N/A
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.
N/A
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
119.1
Number of samples
68
Samples
Sample
Description
TPM
L857
69 years, male, stage:Stage IB, dead, 226 days
234.9
L459
75 years, male, stage:Stage IIA, alive, 3181 days
219.8
L563
61 years, female, stage:Stage IIB, dead, 1216 days
209.6
L858
69 years, female, stage:Stage IIB, dead, 558 days
200.2
L457
46 years, female, stage:Stage IIA, alive, 2901 days
190.5
L539
78 years, male, stage:Stage IB, dead, 370 days
188.5
L496
77 years, male, stage:Stage IB, alive, 2761 days
174.7
L881
70 years, male, stage:Stage IB, alive, 1752 days
174.4
L658
65 years, female, stage:Stage IIB, alive, 2083 days
166.2
L568
77 years, female, stage:Stage IIB, dead, 71 days
156.4
L592
61 years, male, stage:Stage IB, alive, 2368 days
155.2
L860
77 years, male, stage:Stage IA, alive, 2056 days
152.2
L468
53 years, male, stage:Stage IB, alive, 3004 days
151.9
L820
73 years, female, stage:Stage IA, alive, 2405 days
151.1
L452
62 years, male, stage:Stage IIIA, dead, 3115 days
150.1
L739
49 years, female, stage:Stage IIIA, dead, 352 days
148.5
L736
67 years, male, stage:Stage IA, dead, 1195 days
148.5
L655
62 years, male, stage:Stage IIA, dead, 1603 days
134.5
L685
71 years, female, stage:Stage IIB, alive, 1944 days
134.2
L719
63 years, male, stage:Stage IB, alive, 1615 days
132.6
L852
64 years, male, stage:Stage IB, dead, 700 days
131.3
L633
77 years, female, stage:Stage IA, alive, 2102 days
130.8
L444
74 years, female, stage:Stage IIB, alive, 3337 days
128.5
L447
67 years, male, stage:Stage IIB, alive, 3203 days
128.3
L747
74 years, female, stage:Stage IA, dead, 1112 days
127.0
L406
64 years, male, stage:Stage IA, alive, 3057 days
121.6
L483
65 years, male, stage:Stage IB, dead, 77 days
120.0
L661
66 years, male, stage:Stage IA, dead, 1123 days
119.9
L534
66 years, male, stage:Stage IIA, alive, 2693 days
117.7
L586
67 years, male, stage:Stage IIA, dead, 784 days
117.6
L644
67 years, male, stage:Stage IA, dead, 282 days
116.8
L559
72 years, male, stage:Stage IIB, alive, 2615 days
113.0
L744
75 years, male, stage:Stage IA, alive, 1614 days
112.7
L650
69 years, female, stage:Stage IB, dead, 986 days
110.3
L488
61 years, female, stage:Stage IIA, alive, 2993 days
108.3
L767
67 years, male, stage:Stage IA, alive, 1718 days
107.8
L788
54 years, female, stage:Stage IA, alive, 3385 days
107.2
L456
48 years, male, stage:Stage IIA, dead, 1660 days
104.6
L442
75 years, female, stage:Stage IB, dead, 2433 days
104.4
L466
65 years, female, stage:Stage IIIA, dead, 412 days
104.2
L755
82 years, male, stage:Stage IIA, dead, 227 days
103.3
L824
70 years, male, stage:Stage IA, dead, 665 days
102.0
L723
67 years, male, stage:Stage IIA, dead, 433 days
101.9
L490
58 years, male, stage:Stage IA, dead, 716 days
100.7
L420
57 years, female, stage:Stage IIB, dead, 295 days
100.5
L464
66 years, male, stage:Stage IB, dead, 1935 days
100.0
L864
66 years, female, stage:Stage IA, alive, 2192 days
97.9
L715
69 years, female, stage:Stage IIIA, dead, 150 days
96.3
L652
82 years, male, stage:Stage IA, dead, 5 days
95.4
L818
67 years, male, stage:Stage IB, alive, 2480 days
93.9
L753
61 years, male, stage:Stage IIA, alive, 1705 days
89.2
L756
72 years, male, stage:Stage IB, alive, 1796 days
88.5
L604
67 years, male, stage:Stage IIA, dead, 286 days
87.0
L608
73 years, male, stage:Stage IA, alive, 2350 days
85.5
L642
67 years, male, stage:Stage IB, dead, 1167 days
85.1
L886
71 years, male, stage:Stage IB, dead, 1932 days
85.1
L712
61 years, male, stage:Stage IA, alive, 1698 days
82.9
L472
71 years, male, stage:Stage IB, dead, 423 days
79.9
L470
78 years, female, stage:Stage IB, dead, 1774 days
79.4
L884
71 years, male, stage:Stage IIA, alive, 1627 days
79.1
L856
69 years, male, stage:Stage IA, dead, 1465 days
79.0
L758
84 years, male, stage:Stage IA, dead, 1562 days
76.9
L854
62 years, female, stage:Stage IB, alive, 2256 days
75.7
L529
79 years, female, stage:Stage IA, alive, 2775 days
74.1
L817
76 years, female, stage:Stage IIIA, dead, 1279 days
70.7
L760
80 years, male, stage:Stage IIA, alive, 1895 days
66.6
L751
59 years, female, stage:Stage IIIA, alive, 1600 days
64.5
L572
58 years, male, stage:Stage IA, alive, 2532 days
56.9
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LUNG ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
213
Samples
Sample ID
Sample type
nRPX
CPT0118810003
Tumor
1.2
CPT0014260003
Tumor
0.9
CPT0001060010
Tumor
0.8
CPT0098130003
Tumor
0.6
CPT0068800003
Tumor
0.6
CPT0053040004
Tumor
0.6
CPT0067450003
Tumor
0.5
CPT0105060003
Tumor
0.5
CPT0118880003
Tumor
0.4
CPT0063810003
Tumor
0.4
CPT0109680004
Tumor
0.4
CPT0105330003
Tumor
0.4
CPT0000920017
Tumor
0.4
CPT0105510003
Tumor
0.4
CPT0104970003
Tumor
0.4
CPT0089340003
Tumor
0.3
CPT0011910004
Tumor
0.3
CPT0063730003
Tumor
0.3
CPT0052940004
Tumor
0.3
CPT0114660004
Tumor
0.3
CPT0068610003
Tumor
0.3
CPT0001800013
Tumor
0.3
CPT0083780003
Tumor
0.3
CPT0090170004
Tumor
0.3
CPT0069360003
Tumor
0.3
CPT0052170004
Tumor
0.3
CPT0146780004
Tumor
0.3
CPT0115070003
Tumor
0.3
CPT0001580009
Tumor
0.3
CPT0147380004
Tumor
0.2
CPT0067620003
Tumor
0.2
CPT0069700003
Tumor
0.2
CPT0084140003
Tumor
0.2
CPT0114840003
Tumor
0.2
CPT0105600003
Tumor
0.2
CPT0014860003
Tumor
0.2
CPT0105230003
Tumor
0.2
CPT0092530003
Tumor
0.2
CPT0067070003
Tumor
0.2
CPT0118620003
Tumor
0.2
CPT0148280004
Tumor
0.2
CPT0104750003
Tumor
0.2
CPT0013880003
Tumor
0.1
CPT0146880004
Tumor
0.1
CPT0008410003
Tumor
0.1
CPT0118340003
Tumor
0.1
CPT0113990003
Tumor
0.1
CPT0051690004
Tumor
0.1
CPT0001660013
Tumor
0.1
CPT0112060003
Tumor
0.1
CPT0067250003
Tumor
0.1
CPT0118570003
Tumor
0.1
CPT0092930003
Tumor
0.1
CPT0083100003
Tumor
0.1
CPT0147980004
Tumor
0.1
CPT0097580003
Tumor
0.1
CPT0092240003
Tumor
0.1
CPT0109760003
Normal
0.1
CPT0001960003
Tumor
0.0
CPT0090570004
Tumor
0.0
CPT0082740004
Tumor
0.0
CPT0023310003
Tumor
0.0
CPT0066890003
Tumor
0.0
CPT0113210003
Tumor
0.0
CPT0118160003
Tumor
0.0
CPT0069520003
Tumor
0.0
CPT0118240003
Normal
0.0
CPT0011710004
Tumor
0.0
CPT0090860003
Tumor
0.0
CPT0109740004
Tumor
0.0
CPT0068100003
Tumor
0.0
CPT0015410003
Tumor
0.0
CPT0086750003
Tumor
0.0
CPT0146680004
Tumor
0.0
CPT0104760003
Normal
0.0
CPT0118200003
Tumor
0.0
CPT0091860003
Tumor
0.0
CPT0091240003
Tumor
0.0
CPT0001380003
Tumor
0.0
CPT0083390004
Tumor
-0.1
CPT0147880004
Tumor
-0.1
CPT0067940003
Tumor
-0.1
CPT0067110003
Normal
-0.1
CPT0067470004
Normal
-0.1
CPT0063750003
Normal
-0.1
CPT0147900003
Normal
-0.1
CPT0105550003
Normal
-0.1
CPT0091870003
Normal
-0.1
CPT0105270003
Tumor
-0.1
CPT0148100003
Normal
-0.1
CPT0111300003
Tumor
-0.1
CPT0021450003
Tumor
-0.1
CPT0106110003
Tumor
-0.1
CPT0067290003
Normal
-0.1
CPT0001390003
Normal
-0.1
CPT0112080003
Normal
-0.1
CPT0083140003
Normal
-0.1
CPT0109700003
Normal
-0.1
CPT0090700003
Tumor
-0.1
CPT0105010004
Normal
-0.1
CPT0011750003
Normal
-0.1
CPT0079830003
Tumor
-0.1
CPT0105940003
Tumor
-0.1
CPT0148180004
Tumor
-0.1
CPT0110860004
Tumor
-0.1
CPT0105710003
Tumor
-0.1
CPT0066780003
Tumor
-0.1
CPT0105740003
Normal
-0.1
CPT0109710003
Normal
-0.1
CPT0125830003
Normal
-0.1
CPT0147080004
Tumor
-0.1
CPT0118890003
Normal
-0.1
CPT0001070003
Normal
-0.1
CPT0147600003
Normal
-0.1
CPT0118360003
Normal
-0.1
CPT0023320003
Normal
-0.1
CPT0146980004
Tumor
-0.1
CPT0090600003
Normal
-0.1
CPT0092250003
Normal
-0.1
CPT0147500003
Normal
-0.1
CPT0090900004
Normal
-0.1
CPT0083810003
Normal
-0.1
CPT0115090003
Normal
-0.1
CPT0083420003
Normal
-0.1
CPT0102450003
Tumor
-0.1
CPT0125810003
Tumor
-0.1
CPT0110890003
Normal
-0.1
CPT0000930003
Normal
-0.1
CPT0068650003
Normal
-0.1
CPT0015420003
Normal
-0.2
CPT0118180003
Normal
-0.2
CPT0109720004
Tumor
-0.2
CPT0021490003
Normal
-0.2
CPT0084170003
Normal
-0.2
CPT0105370004
Normal
-0.2
CPT0148300003
Normal
-0.2
CPT0118650003
Normal
-0.2
CPT0148000003
Normal
-0.2
CPT0014930003
Normal
-0.2
CPT0068830003
Normal
-0.2
CPT0063840003
Normal
-0.2
CPT0082890003
Normal
-0.2
CPT0014290003
Normal
-0.2
CPT0082850004
Tumor
-0.2
CPT0013630003
Normal
-0.2
CPT0110980004
Tumor
-0.2
CPT0105250003
Normal
-0.2
CPT0069720003
Normal
-0.2
CPT0118830003
Normal
-0.2
CPT0001590003
Normal
-0.2
CPT0070060003
Tumor
-0.2
CPT0146600003
Normal
-0.2
CPT0104650003
Normal
-0.2
CPT0147400003
Normal
-0.2
CPT0113220003
Normal
-0.2
CPT0118600003
Normal
-0.2
CPT0105630003
Tumor
-0.2
CPT0011930003
Normal
-0.2
CPT0109830004
Tumor
-0.2
CPT0104630003
Tumor
-0.2
CPT0118010003
Normal
-0.2
CPT0105190003
Normal
-0.2
CPT0114690003
Normal
-0.2
CPT0105680003
Normal
-0.2
CPT0114010003
Normal
-0.2
CPT0089360003
Normal
-0.2
CPT0070080003
Normal
-0.2
CPT0147100003
Normal
-0.2
CPT0097600003
Normal
-0.2
CPT0146800003
Normal
-0.2
CPT0090720003
Normal
-0.2
CPT0079850003
Normal
-0.2
CPT0092940003
Normal
-0.2
CPT0001970003
Normal
-0.2
CPT0147000003
Normal
-0.2
CPT0148200003
Normal
-0.2
CPT0086320003
Normal
-0.2
CPT0069550003
Normal
-0.2
CPT0090200003
Normal
-0.2
CPT0105610003
Normal
-0.2
CPT0109850003
Normal
-0.2
CPT0067950003
Normal
-0.2
CPT0069370003
Normal
-0.2
CPT0013910003
Normal
-0.2
CPT0147480004
Tumor
-0.2
CPT0091260003
Normal
-0.2
CPT0066810003
Normal
-0.2
CPT0086770003
Normal
-0.2
CPT0111480003
Normal
-0.3
CPT0102480003
Normal
-0.3
CPT0090370003
Normal
-0.3
CPT0090340003
Tumor
-0.3
CPT0067770003
Normal
-0.3
CPT0001810003
Normal
-0.3
CPT0105980003
Normal
-0.3
CPT0117970003
Tumor
-0.3
CPT0114880003
Normal
-0.3
CPT0013600003
Tumor
-0.3
CPT0147580004
Tumor
-0.3
CPT0146700003
Normal
-0.3
CPT0111590003
Normal
-0.3
CPT0082770003
Normal
-0.3
CPT0068130003
Normal
-0.4
CPT0086310003
Tumor
-0.4
CPT0008450003
Tumor
-0.4
CPT0062810003
Normal
-0.4
CPT0106100003
Normal
-0.4
CPT0055100004
Tumor
-0.5
CPT0066930003
Normal
-0.5
CPT0001690003
Normal
-0.5
CPT0008420003
Normal
-0.5
CPT0146580004
Tumor
N/A
CPT0148080004
Tumor
N/A
Show allShow less
LUNG SQUAMOUS CELL CARCINOMA - Protein relative expression (CPTAC)
Number of samples
212
Samples
Sample ID
Sample type
nRPX
CPT0227020003
Tumor
1.0
CPT0126670003
Tumor
1.0
CPT0101130003
Tumor
0.8
CPT0087190003
Tumor
0.8
CPT0083980003
Tumor
0.7
CPT0105420003
Tumor
0.6
CPT0079100003
Tumor
0.6
CPT0237760003
Tumor
0.6
CPT0112720003
Tumor
0.6
CPT0126530003
Tumor
0.6
CPT0233320003
Tumor
0.6
CPT0237200004
Tumor
0.5
CPT0147680004
Tumor
0.5
CPT0146380004
Tumor
0.5
CPT0102790003
Tumor
0.5
CPT0218280003
Tumor
0.4
CPT0237550004
Tumor
0.4
CPT0207210003
Tumor
0.4
CPT0208770003
Tumor
0.4
CPT0238110004
Tumor
0.4
CPT0208780003
Normal
0.4
CPT0225380003
Tumor
0.3
CPT0091050003
Tumor
0.3
CPT0222730003
Tumor
0.3
CPT0130030003
Tumor
0.3
CPT0191860003
Tumor
0.3
CPT0227400003
Tumor
0.3
CPT0219360003
Tumor
0.2
CPT0221650003
Tumor
0.2
CPT0241170003
Tumor
0.2
CPT0068280003
Tumor
0.2
CPT0233120003
Tumor
0.2
CPT0237690004
Tumor
0.2
CPT0130410003
Tumor
0.2
CPT0232670003
Tumor
0.2
CPT0236430003
Normal
0.2
CPT0063430003
Tumor
0.2
CPT0223820003
Normal
0.2
CPT0196810003
Tumor
0.2
CPT0187370003
Tumor
0.2
CPT0195510003
Tumor
0.2
CPT0146480004
Tumor
0.2
CPT0175560003
Tumor
0.2
CPT0104360003
Tumor
0.2
CPT0112650003
Tumor
0.2
CPT0237410004
Tumor
0.1
CPT0186130003
Tumor
0.1
CPT0126830003
Normal
0.1
CPT0236420003
Tumor
0.1
CPT0202530004
Tumor
0.1
CPT0126470003
Normal
0.1
CPT0126810003
Tumor
0.1
CPT0010050003
Tumor
0.1
CPT0192590004
Normal
0.1
CPT0197090003
Tumor
0.1
CPT0237710003
Normal
0.1
CPT0130310003
Normal
0.1
CPT0245780003
Tumor
0.1
CPT0217420003
Tumor
0.1
CPT0112600003
Normal
0.1
CPT0079110003
Normal
0.1
CPT0115860003
Normal
0.1
CPT0090440003
Tumor
0.1
CPT0190550003
Tumor
0.1
CPT0197210003
Tumor
0.1
CPT0245790003
Normal
0.1
CPT0197740003
Tumor
0.1
CPT0130270003
Tumor
0.1
CPT0237060004
Tumor
0.1
CPT0091820003
Tumor
0.1
CPT0232690003
Normal
0.1
CPT0175390003
Tumor
0.1
CPT0237570003
Normal
0.1
CPT0175270003
Normal
0.1
CPT0136660003
Normal
0.1
CPT0175260003
Tumor
0.0
CPT0126390003
Tumor
0.0
CPT0104380003
Normal
0.0
CPT0063440003
Normal
0.0
CPT0123350003
Tumor
0.0
CPT0202170003
Tumor
0.0
CPT0001030003
Normal
0.0
CPT0187380003
Normal
0.0
CPT0186180003
Tumor
0.0
CPT0233160003
Normal
0.0
CPT0086260003
Tumor
0.0
CPT0197150003
Tumor
0.0
CPT0102840003
Normal
0.0
CPT0147700003
Normal
0.0
CPT0196820003
Normal
0.0
CPT0175160003
Normal
0.0
CPT0136640003
Tumor
0.0
CPT0234950004
Normal
0.0
CPT0104930003
Tumor
0.0
CPT0126760003
Normal
0.0
CPT0130440004
Normal
0.0
CPT0204800003
Tumor
0.0
CPT0218310003
Normal
0.0
CPT0105430003
Normal
0.0
CPT0115830003
Tumor
0.0
CPT0079050003
Tumor
0.0
CPT0241210003
Normal
0.0
CPT0204990003
Tumor
0.0
CPT0222740003
Normal
0.0
CPT0202040003
Normal
0.0
CPT0063480003
Tumor
0.0
CPT0209490003
Tumor
0.0
CPT0202740003
Normal
0.0
CPT0237080003
Normal
0.0
CPT0146500003
Normal
0.0
CPT0238130003
Normal
0.0
CPT0202720003
Tumor
0.0
CPT0117720003
Tumor
0.0
CPT0237210003
Normal
0.0
CPT0209020004
Tumor
-0.1
CPT0112660003
Normal
-0.1
CPT0112550003
Normal
-0.1
CPT0147180004
Tumor
-0.1
CPT0126400003
Normal
-0.1
CPT0087210003
Normal
-0.1
CPT0204600003
Tumor
-0.1
CPT0147200003
Normal
-0.1
CPT0245880003
Tumor
-0.1
CPT0010060003
Normal
-0.1
CPT0202400004
Normal
-0.1
CPT0186210003
Normal
-0.1
CPT0117770003
Normal
-0.1
CPT0023500003
Normal
-0.1
CPT0112580003
Tumor
-0.1
CPT0083990003
Normal
-0.1
CPT0202020008
Tumor
-0.1
CPT0104950003
Normal
-0.1
CPT0086270003
Normal
-0.1
CPT0064040003
Tumor
-0.1
CPT0237780003
Normal
-0.1
CPT0183270003
Normal
-0.1
CPT0233600003
Tumor
-0.1
CPT0197380003
Normal
-0.1
CPT0091620003
Normal
-0.1
CPT0234820003
Normal
-0.1
CPT0175410003
Normal
-0.1
CPT0209510003
Normal
-0.1
CPT0111150004
Tumor
-0.1
CPT0197170003
Normal
-0.1
CPT0079060003
Normal
-0.1
CPT0221200003
Tumor
-0.1
CPT0234790003
Tumor
-0.1
CPT0130070003
Normal
-0.1
CPT0195520003
Normal
-0.1
CPT0197520003
Normal
-0.1
CPT0202220004
Normal
-0.1
CPT0191750003
Normal
-0.1
CPT0221220003
Normal
-0.1
CPT0192540004
Tumor
-0.1
CPT0225470003
Normal
-0.1
CPT0205000003
Normal
-0.1
CPT0068320003
Normal
-0.1
CPT0237430003
Normal
-0.1
CPT0186140003
Normal
-0.1
CPT0245890003
Normal
-0.1
CPT0234580003
Normal
-0.1
CPT0233330003
Normal
-0.1
CPT0091090003
Normal
-0.1
CPT0089880003
Tumor
-0.1
CPT0237990003
Normal
-0.1
CPT0234930004
Tumor
-0.1
CPT0227420003
Normal
-0.1
CPT0191710003
Tumor
-0.2
CPT0197860003
Normal
-0.2
CPT0207250003
Normal
-0.2
CPT0023470003
Tumor
-0.2
CPT0245830003
Tumor
-0.2
CPT0191930003
Normal
-0.2
CPT0204820003
Normal
-0.2
CPT0064050003
Normal
-0.2
CPT0209040003
Normal
-0.2
CPT0204660003
Normal
-0.2
CPT0108600003
Normal
-0.2
CPT0227070003
Normal
-0.2
CPT0098770003
Tumor
-0.2
CPT0202350004
Tumor
-0.2
CPT0217490003
Normal
-0.2
CPT0175120003
Tumor
-0.2
CPT0063500003
Normal
-0.2
CPT0237970004
Tumor
-0.2
CPT0221660003
Normal
-0.2
CPT0112540003
Tumor
-0.2
CPT0098800003
Normal
-0.2
CPT0111000004
Normal
-0.2
CPT0069890003
Tumor
-0.2
CPT0123370003
Normal
-0.2
CPT0128900003
Normal
-0.2
CPT0234560003
Tumor
-0.2
CPT0197480003
Tumor
-0.2
CPT0245840003
Normal
-0.2
CPT0112730003
Normal
-0.2
CPT0233640003
Normal
-0.2
CPT0091610003
Tumor
-0.3
CPT0069900003
Normal
-0.3
CPT0146400003
Normal
-0.3
CPT0219390003
Normal
-0.3
CPT0007760003
Normal
-0.3
CPT0108560003
Tumor
-0.3
CPT0126740003
Tumor
-0.3
CPT0007740003
Tumor
-0.3
CPT0223790003
Tumor
-0.3
CPT0197100003
Normal
-0.4
CPT0128890003
Tumor
-0.4
CPT0183250004
Tumor
-0.4
CPT0126450003
Tumor
-0.4
CPT0001020003
Tumor
-0.4
CPT0202580004
Normal
-0.4
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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.
The Human Protein Atlas project is funded
