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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
POLR2C 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
53.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
141.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
113.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
109.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
98.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
95.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
91.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
91.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
89.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
86.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
85.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
82.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
80.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
79.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
79.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
78.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
78.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
78.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
78.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
77.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
77.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
75.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
75.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
75.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
75.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
74.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
74.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
74.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
73.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
72.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
72.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
72.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
71.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
69.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
68.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
68.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
68.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
67.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
67.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
67.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
66.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
65.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
65.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
64.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
64.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
64.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
63.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
63.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
63.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
63.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
63.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
63.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
63.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
63.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
63.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
62.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
62.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
61.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
61.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
61.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
60.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
60.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
60.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
60.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
60.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
60.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
60.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
59.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
59.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
59.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
59.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
58.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
58.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
58.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
58.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
58.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
57.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
57.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
57.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
56.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
55.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
55.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
55.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
55.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
55.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
55.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
55.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
54.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
54.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
54.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
54.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
54.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
54.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
54.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
54.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
53.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
53.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
53.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
53.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
53.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
53.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
53.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
52.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
52.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
52.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
52.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
52.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
52.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
51.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
51.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
51.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
51.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
51.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
51.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
51.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
51.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
51.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
51.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
51.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
50.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
50.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
50.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
50.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
50.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
50.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
50.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
50.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
50.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
49.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
49.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
49.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
49.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
49.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
49.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
48.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
48.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
48.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
48.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
48.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
48.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
48.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
47.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
47.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
47.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
47.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
47.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
47.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
47.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
47.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
47.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
47.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
47.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
47.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
46.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
46.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
46.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
46.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
46.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
46.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
46.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
46.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
46.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
45.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
45.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
45.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
45.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
45.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
45.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
45.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
45.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
44.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
44.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
44.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
44.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
44.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
44.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
44.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
44.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
44.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
44.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
44.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
43.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
43.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
43.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
43.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
43.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
43.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
43.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
42.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
42.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
42.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
42.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
42.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
42.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
42.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
42.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
42.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
42.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
41.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
41.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
41.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
41.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
41.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
41.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
41.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
41.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
40.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
40.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
40.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
40.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
40.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
40.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
40.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
39.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
39.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
39.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
39.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
38.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
38.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
38.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
38.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
38.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
38.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
38.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
38.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
37.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
37.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
37.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
37.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
37.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
37.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
37.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
37.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
37.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
36.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
36.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
36.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
36.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
36.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
36.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
35.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
35.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
35.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
34.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
34.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
33.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
33.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
33.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
33.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
32.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
31.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
29.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
28.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
28.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 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.
POLR2C 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
42.2
Number of samples
486
Samples
Sample
Description
TPM
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
112.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
83.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
79.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
79.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
79.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
73.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
72.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
72.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
71.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
69.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
68.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
67.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
65.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
64.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
63.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
62.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
61.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
61.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
60.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
60.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
60.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
59.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
58.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
58.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
58.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
58.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
58.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
58.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
58.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
57.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
57.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
56.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
56.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
56.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
55.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
55.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
55.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
55.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
54.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
54.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
54.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
54.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
54.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
54.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
54.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
53.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
53.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
53.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
53.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
53.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
53.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
52.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
52.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
52.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
52.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
52.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
52.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
52.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
52.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
52.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
52.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
52.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
51.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
51.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
51.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
51.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
51.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
51.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
51.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
51.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
51.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
51.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
51.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
50.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
50.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
50.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
50.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
50.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
50.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
50.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
50.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
50.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
50.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
50.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
50.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
49.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
49.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
49.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
49.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
49.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
49.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
49.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
49.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
49.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
49.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
49.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
49.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
49.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
48.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
48.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
48.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
48.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
48.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
48.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
48.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
48.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
47.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
47.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
47.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
47.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
47.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
47.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
47.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
47.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
47.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
47.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
47.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
47.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
47.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
47.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
47.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
47.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
47.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
46.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
46.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
46.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
46.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
46.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
46.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
46.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
46.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
46.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
46.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
46.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
46.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
46.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
46.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
46.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
46.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
46.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
45.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
45.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
45.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
45.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
45.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
45.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
45.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
45.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
45.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
45.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
45.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
45.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
45.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
45.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
45.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
45.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
45.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
44.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
44.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
44.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
44.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
44.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
44.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
44.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
44.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
44.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
44.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
44.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
44.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
44.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
44.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
44.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
44.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
44.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
44.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
44.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
43.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
43.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
43.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
43.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
43.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
43.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
43.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
43.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
43.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
43.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
43.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
43.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
43.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
43.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
43.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
43.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
42.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
42.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
42.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
42.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
42.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
42.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
42.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
42.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
42.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
42.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
42.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
42.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
42.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
42.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
42.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
42.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
42.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
42.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
42.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
41.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
41.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
41.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
41.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
41.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
41.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
41.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
41.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
41.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
41.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
41.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
41.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
41.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
41.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
41.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
41.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
41.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
41.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
41.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
41.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
41.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
41.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
41.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
41.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
41.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
41.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
41.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
41.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
41.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
41.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
41.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
41.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
41.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
41.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
40.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
40.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
40.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
40.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
40.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
40.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
40.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
40.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
40.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
40.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
40.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
40.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
40.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
40.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
40.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
40.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
40.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
40.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
40.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
40.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
40.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
40.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
40.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
40.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
40.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
40.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
40.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
40.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
40.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
39.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
39.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
39.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
39.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
39.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
39.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
39.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
39.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
39.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
39.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
39.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
39.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
39.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
39.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
39.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
39.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
39.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
39.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
39.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
39.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
39.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
39.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
39.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
39.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
39.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
39.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
39.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
39.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
39.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
39.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
38.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
38.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
38.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
38.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
38.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
38.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
38.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
38.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
38.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
38.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
38.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
38.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
38.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
38.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
38.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
38.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
38.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
38.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
38.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
38.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
38.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
38.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
37.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
37.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
37.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
37.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
37.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
37.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
37.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
37.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
37.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
37.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
37.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
37.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
37.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
37.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
37.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
37.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
37.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
37.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
37.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
37.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
37.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
37.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
37.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
37.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
37.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
36.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
36.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
36.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
36.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
36.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
36.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
36.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
36.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
36.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
36.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
36.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
36.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
36.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
36.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
36.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
36.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
36.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
35.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
35.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
35.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
35.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
35.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
35.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
35.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
35.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
35.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
35.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
35.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
35.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
35.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
35.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
35.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
35.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
35.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
35.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
35.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
34.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
34.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
34.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
34.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
34.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
34.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
34.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
34.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
34.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
34.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
34.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
34.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
34.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
34.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
34.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
34.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
34.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
34.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
34.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
34.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
33.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
33.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
33.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
33.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
33.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
33.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
33.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
33.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
33.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
33.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
32.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
32.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
32.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
32.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
32.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
32.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
32.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
32.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
32.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
32.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
32.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
32.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
32.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
32.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
32.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
32.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
31.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
31.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
31.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
31.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
31.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
31.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
31.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
31.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
31.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
31.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
30.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
30.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
30.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
30.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
30.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
30.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
30.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
30.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
30.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
29.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
29.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
29.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
29.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
29.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
29.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
29.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
29.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
29.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
28.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
28.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
28.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
27.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
27.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
27.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
27.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
26.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
26.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
26.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
26.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
26.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
25.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
25.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
24.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
24.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
22.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
22.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
20.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.5
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.
POLR2C 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
54.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
119.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
90.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
82.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
81.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
81.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
78.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
78.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
77.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
77.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
76.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
74.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
71.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
71.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
70.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
70.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
69.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
68.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
68.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
68.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
68.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
68.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
68.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
64.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
63.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
63.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
62.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
62.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
61.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
61.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
60.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
59.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
59.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
59.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
58.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
58.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
55.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
55.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
55.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
55.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
54.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
53.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
52.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
51.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
51.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
50.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
50.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
50.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
50.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
50.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
49.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
49.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
49.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
49.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
48.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
46.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
46.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
45.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
45.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
45.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
45.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
45.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
44.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
44.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
44.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
43.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
42.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
42.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
42.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
41.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
40.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
40.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
39.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
39.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
39.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
39.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
38.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
38.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
37.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
36.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
36.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
35.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
35.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
33.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
32.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
31.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
29.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
26.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
POLR2C is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
38.4
Number of samples
207
Samples
Sample
Description
TPM
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
70.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
68.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
66.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
61.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
60.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
59.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
59.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
58.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
57.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
55.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
55.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
54.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
53.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
53.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
53.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
52.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
52.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
51.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
51.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
51.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
51.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
51.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
51.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
50.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
50.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
50.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
49.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
49.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
49.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
49.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
49.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
49.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
48.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
48.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
47.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
47.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
47.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
47.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
47.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
46.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
46.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
46.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
45.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
45.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
45.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
45.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
45.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
45.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
44.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
44.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
44.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
44.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
44.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
44.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
44.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
43.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
42.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
42.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
42.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
42.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
42.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
42.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
42.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
42.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
42.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
42.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
42.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
41.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
41.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
41.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
41.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
41.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
41.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
41.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
41.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
41.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
40.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
40.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
40.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
40.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
40.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
39.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
39.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
39.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
39.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
39.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
39.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
39.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
39.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
39.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
39.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
39.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
39.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
39.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
39.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
39.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
38.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
38.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
38.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
38.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
38.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
38.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
37.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
37.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
37.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
37.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
37.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
37.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
37.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
36.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
36.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
36.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
36.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
36.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
36.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
36.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
36.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
36.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
36.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
35.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
35.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
35.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
35.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
35.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
35.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
35.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
35.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
35.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
35.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
35.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
35.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
35.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
34.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
34.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
34.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
34.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
34.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
34.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
34.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
34.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
33.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
33.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
33.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
33.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
33.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
33.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
33.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
32.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
32.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
32.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
32.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
32.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
32.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
32.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
32.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
32.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
32.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
31.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
31.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
31.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
31.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
31.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
31.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
31.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
30.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
30.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
30.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
30.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
30.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
29.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
29.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
29.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
29.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
29.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
28.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
28.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
28.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
28.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
27.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
27.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
27.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
27.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
26.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
25.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
25.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
25.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
24.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
24.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
24.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
23.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
23.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
22.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
22.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
22.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
21.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
21.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
20.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
20.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
20.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
20.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
19.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
19.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
19.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
3.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
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Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
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Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
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Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
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Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
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Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
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Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
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Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
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Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
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Tumor
0.1
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Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
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Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
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Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
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Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
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Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
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Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
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Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
