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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.
IGHV1-3 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
31.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
619.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
380.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
318.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
279.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
233.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
216.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
213.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
210.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
206.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
205.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
201.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
198.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
167.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
161.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
137.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
137.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
134.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
132.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
127.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
120.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
112.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
106.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
100.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
99.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
97.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
96.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
95.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
92.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
79.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
77.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
73.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
69.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
68.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
68.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
66.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
63.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
62.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
56.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
52.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
51.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
50.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
49.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
46.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
46.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
45.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
44.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
43.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
42.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
41.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
40.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
39.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
38.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
38.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
37.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
36.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
36.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
36.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
34.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
33.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
33.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
32.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
31.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
31.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
31.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
31.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
28.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
28.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
26.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
26.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
25.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
25.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
24.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
24.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
23.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
22.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
21.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
19.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
19.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
18.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
17.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
16.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
16.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
16.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
15.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
15.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
15.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
14.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
14.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
14.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
14.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
14.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
13.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
13.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
13.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
13.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
12.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
12.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
11.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
11.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
11.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
10.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
10.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
10.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
10.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
10.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
9.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
9.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
9.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
9.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
9.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
9.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
9.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
8.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
8.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
8.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
7.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
7.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
7.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
7.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
7.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
7.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
7.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
7.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
7.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
7.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
6.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
6.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
6.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
6.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
5.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
5.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
5.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
5.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
5.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
4.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
4.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
4.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
4.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
4.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
4.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
4.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
4.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
3.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
3.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
3.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
3.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
3.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
3.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
3.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
3.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
3.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
3.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
2.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
2.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
2.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
2.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
2.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
2.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
2.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
2.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
2.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
1.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
1.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
1.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
1.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
1.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
1.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
1.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
1.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
1.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
1.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
0.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
0.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
0.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
0.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
0.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
0.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
0.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
0.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
0.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
0.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
0.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
0.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
0.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
0.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
0.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
0.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
0.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
0.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
0.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
0.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
0.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
0.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
0.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
0.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
0.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
0.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
0.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
0.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
0.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
0.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
0.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
0.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
0.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
0.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
0.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
0.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
0.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
0.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
0.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
0.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
0.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
0.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
0.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
0.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
0.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
0.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
0.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
0.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
0.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
0.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 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.
IGHV1-3 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
84.5
Number of samples
486
Samples
Sample
Description
TPM
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
2352.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
1203.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
1066.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
782.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
692.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
531.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
492.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
491.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
473.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
450.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
447.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
413.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
371.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
362.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
350.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
349.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
343.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
341.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
337.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
334.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
334.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
317.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
308.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
305.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
296.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
290.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
281.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
281.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
277.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
271.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
252.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
251.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
248.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
246.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
232.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
231.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
230.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
230.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
230.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
229.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
225.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
221.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
213.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
210.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
209.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
208.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
203.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
200.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
198.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
197.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
195.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
191.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
187.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
186.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
185.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
183.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
183.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
178.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
177.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
175.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
171.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
170.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
169.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
165.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
164.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
163.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
161.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
160.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
159.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
159.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
156.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
155.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
153.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
151.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
148.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
145.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
144.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
143.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
142.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
141.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
140.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
138.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
136.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
136.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
133.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
133.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
130.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
130.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
129.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
129.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
127.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
126.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
126.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
124.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
124.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
122.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
122.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
121.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
119.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
118.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
118.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
114.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
114.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
114.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
114.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
113.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
112.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
111.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
111.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
108.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
107.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
107.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
107.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
106.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
106.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
106.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
105.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
104.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
104.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
103.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
102.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
102.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
100.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
100.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
98.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
97.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
97.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
97.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
96.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
95.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
95.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
95.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
94.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
91.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
90.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
90.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
89.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
87.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
87.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
86.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
85.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
85.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
85.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
85.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
84.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
84.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
83.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
83.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
83.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
82.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
81.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
81.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
81.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
81.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
81.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
80.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
80.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
80.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
79.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
78.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
77.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
77.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
75.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
74.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
74.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
74.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
73.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
73.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
72.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
72.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
72.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
72.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
72.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
71.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
71.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
69.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
69.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
68.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
67.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
67.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
67.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
66.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
66.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
66.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
66.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
65.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
64.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
64.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
64.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
63.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
62.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
62.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
61.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
61.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
61.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
60.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
60.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
59.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
59.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
59.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
58.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
58.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
58.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
58.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
57.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
57.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
56.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
56.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
56.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
55.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
54.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
54.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
53.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
53.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
52.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
52.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
51.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
51.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
50.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
49.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
49.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
49.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
48.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
48.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
47.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
47.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
47.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
46.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
46.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
45.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
44.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
44.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
44.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
44.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
43.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
43.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
43.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
43.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
42.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
42.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
42.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
41.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
41.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
40.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
40.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
40.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
39.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
39.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
39.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
39.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
39.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
38.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
37.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
37.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
36.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
36.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
36.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
36.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
36.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
35.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
35.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
34.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
34.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
33.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
33.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
33.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
32.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
32.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
32.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
32.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
32.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
31.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
31.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
31.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
31.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
30.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
29.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
29.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
28.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
28.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
28.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
28.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
28.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
28.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
27.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
27.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
27.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
27.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
27.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
26.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
26.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
26.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
26.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
25.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
25.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
25.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
25.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
25.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
25.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
24.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
24.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
24.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
24.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
24.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
23.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
23.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
23.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
23.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
22.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
22.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
22.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
22.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
21.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
21.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
21.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
21.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
20.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
20.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
19.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
18.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
18.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
18.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
18.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
18.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
18.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
17.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
17.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
17.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
17.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
17.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
16.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
16.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
15.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
15.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
15.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
15.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
15.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
15.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
14.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
14.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
14.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
14.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
14.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
14.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
14.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
13.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
13.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
13.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
12.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
12.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
12.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
12.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
12.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
12.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
12.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
12.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
12.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
11.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
11.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
11.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
11.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
11.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
11.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
10.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
10.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
10.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
10.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
9.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
9.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
9.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
9.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
9.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
9.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
9.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
8.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
8.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
8.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
8.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
8.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
7.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
7.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
7.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
7.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
7.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
7.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
7.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
7.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
7.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
6.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
6.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
6.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
6.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
6.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
5.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
5.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
5.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
5.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
4.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
4.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
4.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
4.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
4.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
4.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
4.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
4.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
4.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
4.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
3.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
3.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
3.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
3.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
3.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
3.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
3.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
3.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
3.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
3.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
2.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
2.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
2.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
2.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
2.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
2.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
2.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
2.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
2.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
2.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
2.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
2.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
2.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
2.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
2.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
2.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
2.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
2.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
2.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
1.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
1.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
1.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
1.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
1.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
1.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
1.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
1.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
1.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
1.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
1.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
1.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
1.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
1.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
1.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
1.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
1.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
1.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
1.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
1.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
1.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
1.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
1.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
0.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
0.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
0.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
0.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
0.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
0.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
0.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
0.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
0.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
0.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
0.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
0.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
0.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
0.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
0.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
0.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
0.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
0.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
0.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
0.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
0.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
0.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 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.
IGHV1-3 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
27.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
501.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
265.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
118.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
90.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
81.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
77.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
76.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
70.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
61.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
61.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
59.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
55.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
48.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
48.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
47.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
45.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
45.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
44.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
43.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
42.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
38.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
30.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
29.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
29.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
25.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
22.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
21.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
20.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
20.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
19.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
19.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
18.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
18.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
17.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
14.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
13.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
13.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
12.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
12.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
10.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
9.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
9.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
9.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
9.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
9.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
9.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
8.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
7.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
7.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
6.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
6.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
5.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
4.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
4.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
3.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
2.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
2.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
2.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
1.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
1.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
1.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
0.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
0.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
0.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
0.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
0.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
0.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
0.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
0.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
0.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
0.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
0.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
0.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
0.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
0.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
0.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
0.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
0.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
0.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
0.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 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.
IGHV1-3 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
83.8
Number of samples
207
Samples
Sample
Description
TPM
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
1774.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
570.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
474.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
433.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
414.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
361.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
324.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
321.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
318.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
313.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
278.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
255.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
242.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
241.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
231.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
227.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
218.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
213.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
210.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
198.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
190.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
186.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
183.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
177.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
173.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
164.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
160.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
157.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
148.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
146.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
144.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
144.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
141.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
140.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
139.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
136.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
135.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
133.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
132.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
131.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
131.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
128.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
127.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
125.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
125.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
124.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
120.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
119.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
116.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
113.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
113.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
112.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
112.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
107.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
106.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
105.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
104.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
102.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
98.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
96.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
95.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
94.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
93.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
92.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
91.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
90.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
89.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
89.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
87.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
86.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
84.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
83.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
83.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
83.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
80.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
80.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
79.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
78.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
74.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
73.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
69.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
67.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
65.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
63.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
62.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
61.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
60.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
60.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
59.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
58.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
54.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
51.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
51.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
51.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
50.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
48.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
47.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
47.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
45.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
45.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
44.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
42.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
40.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
39.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
38.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
36.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
36.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
35.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
35.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
34.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
34.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
33.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
32.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
32.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
32.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
30.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
29.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
28.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
28.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
28.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
27.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
27.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
24.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
23.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
23.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
23.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
22.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
22.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
22.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
22.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
21.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
21.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
21.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
20.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
20.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
20.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
20.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
20.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
19.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
18.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
18.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
18.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
18.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
17.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
16.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
16.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
16.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
15.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
15.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
14.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
14.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
13.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
13.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
12.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
11.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
10.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
10.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
10.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
9.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
8.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
8.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
7.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
6.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
6.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
6.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
5.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
5.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
4.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
4.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
4.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
4.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
4.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
4.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
3.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
3.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
3.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
3.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
3.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
3.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
3.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
2.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
2.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
2.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
1.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
1.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
1.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
1.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
1.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
1.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
1.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
1.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
1.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
0.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
0.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
0.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
0.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
0.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
0.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
0.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
0.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
0.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
0.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
0.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
0.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
0.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
0.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
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
