We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
POLR2J3 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
44.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
155.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
153.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
143.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
138.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
137.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
135.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
127.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
107.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
105.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
104.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
100.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
98.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
93.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
93.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
93.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
91.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
90.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
90.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
89.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
87.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
85.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
82.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
79.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
79.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
77.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
77.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
76.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
76.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
75.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
75.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
74.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
71.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
71.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
71.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
71.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
70.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
70.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
69.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
68.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
67.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
66.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
66.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
65.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
65.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
64.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
64.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
64.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
64.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
64.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
64.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
64.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
63.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
63.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
62.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
61.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
60.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
60.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
60.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
60.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
60.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
59.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
59.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
59.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
58.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
58.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
58.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
57.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
57.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
57.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
57.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
56.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
56.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
56.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
55.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
54.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
53.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
53.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
53.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
53.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
53.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
52.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
52.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
51.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
50.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
50.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
50.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
50.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
50.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
50.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
49.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
49.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
49.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
48.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
48.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
47.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
47.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
47.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
47.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
46.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
46.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
46.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
46.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
46.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
46.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
46.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
45.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
45.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
45.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
44.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
44.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
43.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
43.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
43.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
43.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
42.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
42.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
42.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
42.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
42.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
41.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
41.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
41.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
40.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
40.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
40.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
39.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
39.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
39.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
39.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
39.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
38.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
38.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
38.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
37.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
37.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
37.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
37.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
37.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
37.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
37.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
37.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
36.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
36.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
36.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
36.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
36.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
35.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
34.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
34.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
34.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
33.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
33.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
33.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
33.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
32.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
32.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
31.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
31.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
31.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
31.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
31.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
31.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
31.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
31.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
30.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
30.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
30.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
29.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
29.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
29.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
29.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
29.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
29.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
28.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
28.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
28.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
28.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
28.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
27.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
27.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
27.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
27.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
27.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
27.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
27.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
26.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
26.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
26.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
26.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
26.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
26.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
26.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
25.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
25.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
25.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
25.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
24.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
24.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
24.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
24.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
24.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
23.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
23.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
22.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
22.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
21.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
21.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
21.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
20.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
20.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
20.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
19.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
19.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
18.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
18.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
17.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
16.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
16.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
16.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
15.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
14.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
14.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
14.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
14.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
14.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
13.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
13.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
13.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
13.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
12.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
11.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
11.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
11.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
10.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
9.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
9.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
9.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
9.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
8.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
8.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
7.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
6.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
6.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
6.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
5.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
5.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
4.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
4.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
4.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
4.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
3.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
2.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 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.
POLR2J3 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
133.6
Number of samples
486
Samples
Sample
Description
TPM
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
738.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
456.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
447.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
386.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
304.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
304.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
300.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
294.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
293.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
291.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
286.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
266.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
256.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
253.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
251.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
250.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
247.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
246.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
245.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
243.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
242.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
239.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
238.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
234.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
234.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
231.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
230.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
227.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
227.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
226.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
223.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
223.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
222.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
217.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
216.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
215.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
213.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
212.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
212.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
211.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
210.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
210.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
209.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
208.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
208.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
207.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
206.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
206.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
206.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
205.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
205.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
205.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
203.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
203.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
202.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
202.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
199.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
199.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
198.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
197.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
197.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
196.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
196.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
196.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
196.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
195.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
195.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
195.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
193.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
192.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
191.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
190.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
189.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
189.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
189.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
189.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
187.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
187.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
187.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
187.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
187.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
186.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
186.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
186.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
185.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
185.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
185.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
183.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
183.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
182.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
181.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
181.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
181.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
181.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
180.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
179.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
178.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
176.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
176.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
174.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
174.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
173.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
172.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
172.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
172.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
171.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
171.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
171.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
171.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
170.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
170.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
169.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
168.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
168.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
168.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
167.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
167.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
167.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
167.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
167.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
166.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
165.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
164.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
164.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
164.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
163.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
162.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
162.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
161.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
161.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
161.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
161.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
161.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
161.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
161.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
160.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
160.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
160.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
160.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
159.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
159.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
159.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
159.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
158.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
158.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
158.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
158.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
157.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
157.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
156.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
156.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
155.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
155.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
153.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
153.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
153.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
152.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
152.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
151.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
151.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
151.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
151.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
150.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
149.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
149.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
149.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
149.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
149.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
149.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
149.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
149.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
148.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
148.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
148.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
147.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
147.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
147.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
146.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
146.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
146.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
146.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
145.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
145.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
145.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
144.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
144.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
144.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
144.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
143.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
143.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
143.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
142.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
141.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
141.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
141.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
141.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
140.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
140.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
140.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
140.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
140.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
140.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
139.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
138.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
138.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
138.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
138.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
136.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
136.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
135.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
135.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
135.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
134.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
134.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
133.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
133.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
133.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
132.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
132.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
132.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
131.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
131.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
130.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
130.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
130.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
130.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
130.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
130.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
130.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
129.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
128.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
128.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
127.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
127.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
127.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
127.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
127.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
127.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
126.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
126.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
126.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
125.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
125.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
125.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
125.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
124.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
124.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
123.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
123.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
122.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
122.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
121.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
121.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
121.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
121.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
121.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
120.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
120.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
120.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
119.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
119.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
119.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
119.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
119.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
119.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
119.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
118.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
118.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
118.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
118.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
118.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
118.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
118.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
118.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
117.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
117.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
117.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
117.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
117.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
117.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
116.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
116.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
116.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
115.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
115.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
115.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
115.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
115.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
115.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
114.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
114.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
114.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
114.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
113.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
113.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
113.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
113.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
113.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
113.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
112.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
112.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
112.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
112.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
111.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
111.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
111.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
110.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
110.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
110.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
110.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
109.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
109.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
108.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
108.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
108.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
107.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
107.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
107.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
107.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
107.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
106.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
106.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
105.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
105.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
105.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
105.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
104.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
104.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
104.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
104.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
104.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
103.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
103.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
103.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
102.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
102.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
102.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
102.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
101.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
101.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
100.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
100.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
100.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
100.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
99.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
98.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
98.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
97.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
97.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
97.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
97.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
96.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
96.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
95.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
95.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
95.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
95.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
94.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
94.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
94.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
93.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
93.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
91.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
91.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
91.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
91.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
91.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
90.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
89.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
89.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
88.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
88.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
88.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
87.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
87.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
87.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
87.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
86.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
86.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
86.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
86.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
86.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
85.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
85.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
85.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
85.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
84.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
84.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
84.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
83.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
83.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
82.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
82.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
81.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
81.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
80.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
80.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
79.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
79.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
79.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
76.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
76.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
76.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
76.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
75.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
75.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
74.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
73.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
73.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
73.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
72.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
72.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
72.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
71.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
71.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
71.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
71.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
70.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
69.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
69.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
68.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
68.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
67.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
67.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
67.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
67.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
67.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
66.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
66.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
66.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
66.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
65.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
64.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
64.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
64.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
63.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
62.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
62.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
60.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
60.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
59.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
59.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
58.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
58.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
56.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
56.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
55.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
54.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
54.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
54.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
54.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
53.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
53.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
53.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
53.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
52.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
51.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
50.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
49.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
49.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
49.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
47.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
46.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
46.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
45.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
45.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
44.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
43.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
43.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
43.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
41.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
41.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
40.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
40.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
40.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
39.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
37.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
36.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
34.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
29.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
26.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
26.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
23.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
17.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
12.3
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
POLR2J3 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
51.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
112.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
109.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
105.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
103.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
98.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
96.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
95.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
90.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
89.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
88.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
84.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
84.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
82.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
81.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
79.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
76.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
75.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
75.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
74.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
72.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
71.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
68.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
68.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
66.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
66.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
65.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
65.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
64.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
64.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
63.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
63.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
63.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
62.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
61.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
60.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
60.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
58.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
58.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
57.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
55.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
54.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
53.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
53.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
53.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
52.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
51.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
50.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
50.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
50.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
49.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
48.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
47.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
46.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
45.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
37.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
36.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
36.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
34.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
34.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
33.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
32.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
32.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
31.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
30.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
30.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
29.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
29.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
28.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
28.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
27.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
27.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
26.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
25.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
23.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
21.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
20.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
20.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
18.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
17.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
16.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
15.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
9.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
8.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
7.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
4.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
3.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
POLR2J3 is potential prognostic, high expression is unfavorable 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
136.8
Number of samples
207
Samples
Sample
Description
TPM
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
334.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
276.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
270.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
265.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
257.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
248.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
239.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
228.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
223.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
222.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
221.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
221.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
218.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
216.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
216.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
215.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
209.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
207.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
203.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
202.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
201.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
201.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
201.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
200.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
199.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
198.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
195.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
193.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
193.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
191.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
190.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
190.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
188.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
183.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
183.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
183.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
182.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
181.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
181.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
180.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
178.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
177.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
177.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
177.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
176.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
175.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
174.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
174.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
174.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
173.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
172.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
172.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
172.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
171.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
169.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
168.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
166.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
166.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
165.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
165.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
163.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
163.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
162.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
161.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
160.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
158.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
157.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
156.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
155.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
154.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
154.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
154.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
153.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
152.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
152.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
150.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
150.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
150.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
150.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
148.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
147.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
147.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
145.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
144.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
144.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
144.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
144.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
143.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
143.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
143.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
142.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
142.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
142.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
141.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
139.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
138.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
138.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
137.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
137.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
136.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
136.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
135.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
134.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
133.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
131.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
131.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
129.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
129.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
128.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
127.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
126.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
126.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
126.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
126.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
126.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
125.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
124.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
124.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
123.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
123.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
122.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
122.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
120.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
117.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
115.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
115.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
114.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
114.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
113.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
113.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
113.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
112.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
112.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
111.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
111.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
110.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
109.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
108.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
106.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
106.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
106.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
105.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
105.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
105.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
104.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
103.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
102.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
102.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
101.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
101.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
99.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
99.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
99.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
98.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
98.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
98.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
97.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
96.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
96.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
96.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
96.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
95.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
95.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
94.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
94.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
93.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
92.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
92.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
91.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
91.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
90.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
89.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
89.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
88.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
87.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
87.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
87.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
85.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
84.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
81.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
81.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
80.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
80.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
77.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
77.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
73.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
72.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
71.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
69.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
69.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
68.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
65.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
63.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
63.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
63.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
62.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
61.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
60.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
58.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
56.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
54.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
54.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
53.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
52.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
45.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
43.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
41.3
Show allShow less
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
