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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.
IGKV4-1 is not prognostic in Colon 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
242.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
6092.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
2541.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
2380.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
2354.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
2209.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1319.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
1299.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
1142.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
1055.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
986.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
977.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
962.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
962.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
915.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
877.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
834.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
761.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
759.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
743.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
729.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
722.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
682.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
673.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
659.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
602.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
597.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
589.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
545.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
516.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
485.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
481.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
465.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
462.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
456.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
443.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
439.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
436.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
435.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
427.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
422.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
405.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
402.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
393.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
388.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
379.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
372.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
360.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
358.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
344.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
340.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
328.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
323.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
319.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
307.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
305.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
297.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
296.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
294.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
293.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
265.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
265.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
263.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
263.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
259.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
257.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
257.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
251.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
251.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
251.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
249.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
248.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
245.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
245.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
242.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
228.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
224.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
223.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
213.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
208.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
201.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
199.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
196.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
191.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
186.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
178.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
172.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
170.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
163.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
161.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
156.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
155.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
154.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
154.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
150.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
149.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
148.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
145.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
144.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
143.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
143.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
142.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
140.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
139.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
138.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
137.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
135.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
131.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
131.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
128.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
128.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
118.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
116.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
116.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
111.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
109.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
108.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
104.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
101.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
98.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
97.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
96.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
96.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
94.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
94.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
92.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
91.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
90.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
88.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
87.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
85.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
83.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
81.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
81.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
78.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
74.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
73.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
73.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
68.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
68.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
66.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
64.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
64.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
63.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
63.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
62.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
59.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
58.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
57.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
57.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
54.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
53.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
50.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
49.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
49.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
48.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
45.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
45.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
44.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
43.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
42.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
39.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
37.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
35.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
35.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
32.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
31.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
30.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
30.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
29.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
28.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
28.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
26.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
26.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
26.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
25.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
25.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
23.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
23.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
22.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
22.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
22.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
21.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
19.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
19.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
18.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
17.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
16.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
16.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
16.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
15.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
15.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
15.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
14.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
13.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
13.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
13.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
13.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
13.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
13.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
13.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
12.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
12.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
12.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
11.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
10.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
10.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
10.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
9.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
8.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
8.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
8.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
7.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
7.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
7.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
6.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
6.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
6.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
6.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
6.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
6.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
6.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
5.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
5.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
5.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
4.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
4.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
3.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
3.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
3.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
3.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
3.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
3.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
3.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
2.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
2.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
2.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
2.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
1.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
1.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
1.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
0.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
0.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 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.
IGKV4-1 is not prognostic in Colon 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
493.0
Number of samples
486
Samples
Sample
Description
TPM
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
3425.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
3090.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
2848.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
2792.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
2434.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
2357.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
2239.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
2075.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
2072.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
2044.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
1985.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
1874.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
1803.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
1765.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
1700.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
1680.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
1618.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
1595.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1561.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
1523.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
1501.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
1501.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
1495.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
1489.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
1460.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
1427.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
1422.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
1411.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
1405.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
1392.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
1390.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
1369.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
1324.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
1320.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
1293.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
1291.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
1271.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
1270.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
1252.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
1229.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
1217.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
1198.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
1191.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
1115.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
1093.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
1077.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
1074.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
1061.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
1051.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
1043.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
1028.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
1026.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
1022.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
1011.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
1005.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
981.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
970.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
967.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
938.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
937.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
935.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
929.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
918.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
913.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
910.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
895.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
886.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
882.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
875.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
870.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
868.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
862.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
859.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
855.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
847.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
845.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
838.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
836.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
834.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
833.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
829.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
828.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
826.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
824.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
820.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
811.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
806.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
802.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
797.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
793.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
792.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
791.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
788.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
786.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
778.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
769.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
768.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
761.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
759.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
759.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
758.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
757.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
753.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
746.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
746.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
746.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
743.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
739.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
730.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
725.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
723.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
716.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
715.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
711.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
705.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
705.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
705.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
698.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
695.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
692.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
692.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
685.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
683.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
679.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
675.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
673.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
669.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
662.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
661.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
658.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
657.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
657.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
653.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
650.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
646.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
646.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
645.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
641.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
639.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
638.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
636.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
634.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
633.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
632.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
611.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
607.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
599.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
598.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
597.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
596.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
590.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
588.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
587.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
586.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
579.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
568.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
566.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
557.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
552.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
550.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
545.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
545.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
543.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
540.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
538.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
533.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
532.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
530.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
525.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
516.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
514.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
512.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
512.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
509.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
504.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
503.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
500.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
498.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
497.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
492.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
490.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
490.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
488.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
487.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
487.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
486.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
480.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
479.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
477.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
477.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
474.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
473.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
473.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
470.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
468.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
468.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
466.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
464.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
458.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
455.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
450.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
444.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
440.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
440.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
439.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
439.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
436.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
436.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
436.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
435.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
435.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
434.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
433.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
430.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
428.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
428.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
427.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
426.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
424.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
422.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
421.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
415.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
409.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
407.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
406.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
403.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
403.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
398.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
396.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
395.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
394.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
387.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
386.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
386.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
386.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
385.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
384.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
383.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
374.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
373.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
370.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
359.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
359.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
358.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
356.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
355.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
352.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
351.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
346.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
345.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
344.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
344.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
341.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
340.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
338.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
337.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
335.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
333.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
328.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
322.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
320.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
319.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
319.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
318.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
316.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
311.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
307.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
307.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
306.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
306.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
302.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
302.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
296.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
293.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
292.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
292.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
291.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
289.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
289.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
282.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
281.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
280.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
280.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
278.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
278.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
278.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
274.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
273.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
270.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
269.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
267.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
262.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
259.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
256.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
256.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
253.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
253.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
251.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
250.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
246.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
246.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
245.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
245.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
244.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
240.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
237.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
233.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
232.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
232.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
230.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
229.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
228.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
227.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
226.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
224.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
223.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
222.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
220.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
216.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
216.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
210.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
203.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
201.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
201.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
199.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
199.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
194.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
194.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
194.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
192.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
191.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
191.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
187.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
187.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
182.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
182.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
181.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
178.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
176.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
173.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
173.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
172.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
169.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
169.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
169.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
168.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
167.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
167.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
167.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
167.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
164.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
163.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
162.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
160.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
156.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
156.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
154.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
153.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
152.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
151.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
150.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
148.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
148.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
146.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
144.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
144.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
141.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
141.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
140.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
140.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
137.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
137.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
137.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
136.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
134.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
134.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
133.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
132.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
132.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
129.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
129.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
129.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
128.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
128.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
128.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
123.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
119.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
118.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
116.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
115.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
112.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
110.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
108.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
104.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
104.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
99.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
96.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
95.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
92.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
92.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
89.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
89.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
88.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
87.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
85.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
85.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
85.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
82.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
81.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
77.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
77.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
77.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
76.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
76.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
74.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
74.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
72.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
71.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
70.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
68.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
68.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
67.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
65.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
63.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
62.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
62.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
62.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
61.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
60.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
59.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
58.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
57.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
57.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
56.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
56.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
56.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
53.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
52.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
52.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
49.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
48.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
48.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
47.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
47.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
47.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
44.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
44.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
43.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
43.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
41.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
41.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
40.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
40.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
39.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
36.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
35.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
35.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
32.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
32.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
31.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
31.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
30.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
29.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
28.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
27.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
26.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
25.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
24.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
22.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
21.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
20.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
19.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
19.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
17.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
16.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
14.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
14.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
7.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
7.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
4.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
3.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
3.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
3.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
2.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 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.
IGKV4-1 is not prognostic in Rectum 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
196.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
2127.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
1215.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
1120.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
821.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
707.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
576.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
556.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
515.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
443.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
441.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
420.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
382.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
377.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
377.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
356.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
319.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
308.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
298.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
295.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
277.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
236.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
229.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
222.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
200.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
198.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
197.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
187.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
184.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
181.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
166.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
166.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
145.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
140.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
138.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
137.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
133.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
124.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
124.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
120.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
117.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
116.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
112.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
112.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
96.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
96.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
93.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
92.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
91.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
91.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
89.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
85.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
84.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
77.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
69.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
61.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
60.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
55.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
53.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
44.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
43.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
42.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
40.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
38.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
31.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
28.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
26.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
23.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
22.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
19.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
17.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
15.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
14.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
13.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
12.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
9.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
9.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
9.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
6.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
4.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
3.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
2.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
2.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
1.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
1.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
IGKV4-1 is not prognostic in Rectum 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
543.5
Number of samples
207
Samples
Sample
Description
TPM
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
3398.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
2872.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
2569.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
2556.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
2389.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
2059.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
1914.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
1805.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
1738.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
1680.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
1659.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
1644.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
1640.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
1638.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
1513.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
1504.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
1490.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
1478.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
1415.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
1404.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
1387.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
1227.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
1214.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
1206.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
1176.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
1127.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
1103.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
1099.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
1054.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
1032.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
1010.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
967.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
958.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
928.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
925.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
924.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
912.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
903.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
902.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
901.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
846.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
840.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
820.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
786.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
785.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
777.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
776.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
760.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
754.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
754.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
746.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
734.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
720.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
711.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
710.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
700.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
688.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
687.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
664.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
659.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
640.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
634.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
622.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
596.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
593.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
591.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
584.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
581.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
549.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
545.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
542.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
517.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
510.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
504.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
499.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
496.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
491.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
489.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
485.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
481.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
473.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
471.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
470.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
468.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
468.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
466.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
458.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
456.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
448.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
444.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
439.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
437.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
435.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
433.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
429.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
425.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
419.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
417.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
413.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
410.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
405.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
402.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
397.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
397.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
396.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
390.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
389.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
388.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
383.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
382.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
378.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
373.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
350.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
347.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
344.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
321.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
317.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
309.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
308.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
299.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
299.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
287.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
283.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
275.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
266.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
266.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
262.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
260.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
251.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
249.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
248.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
244.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
242.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
224.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
220.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
216.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
216.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
210.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
207.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
205.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
205.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
204.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
204.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
198.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
193.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
192.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
188.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
173.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
167.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
164.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
164.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
162.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
159.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
156.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
152.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
146.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
143.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
135.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
125.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
121.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
116.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
115.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
106.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
104.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
104.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
104.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
104.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
101.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
99.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
96.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
94.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
93.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
91.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
88.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
87.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
85.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
85.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
80.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
78.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
70.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
69.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
68.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
65.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
62.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
57.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
56.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
54.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
50.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
48.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
47.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
42.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
39.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
38.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
28.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
27.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
22.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
19.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
16.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
16.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
15.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
15.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
14.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
14.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
8.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
5.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
2.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
3.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
2.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
2.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
2.1
41a04113-2061-4923-bca5-da586c_D2
Normal
2.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
2.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
2.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
1.9
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
1.9
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
1.9
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
1.9
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.8
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
1.7
359f5c81-2575-497e-8630-e4866f_D2
Normal
1.7
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
1.6
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
1.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
1.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
1.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
1.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
1.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
1.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
1.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
1.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.9
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.9
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.9
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.9
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.7
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.7
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.6
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.6
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.6
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.6
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.6
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.7
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.7
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.7
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.8
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.8
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.8
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.8
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.8
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.8
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.8
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.8
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.8
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.8
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.8
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.9
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.9
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.9
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.9
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-1.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-1.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-1.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-1.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-1.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-1.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-1.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-1.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-1.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-1.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-1.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.3
b2400046-1d25-429d-a821-6040a6
Tumor
-1.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-1.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-1.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-1.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-1.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-1.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-1.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-1.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-1.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-1.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-1.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-1.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.6
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-1.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-1.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-1.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.7
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.8
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-1.8
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-1.9
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-1.9
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.9
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.9
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-2.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-2.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-2.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-2.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-2.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-2.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-2.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-2.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-2.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-2.6
43192517-085e-450e-9481-0a6713_D3
Tumor
-2.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-4.5
Show allShow less
COLORECTAL 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.
The Human Protein Atlas project is funded
