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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.
PRKDC 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
32.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
136.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
114.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
109.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
99.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
99.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
97.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
92.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
89.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
77.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
74.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
74.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
73.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
71.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
70.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
63.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
63.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
60.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
59.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
59.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
56.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
56.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
55.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
55.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
50.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
50.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
50.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
50.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
49.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
49.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
49.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
47.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
47.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
47.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
47.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
47.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
47.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
46.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
46.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
45.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
45.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
44.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
44.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
44.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
43.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
43.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
43.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
42.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
41.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
41.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
41.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
41.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
40.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
40.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
40.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
40.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
39.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
39.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
39.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
38.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
38.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
38.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
38.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
38.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
38.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
37.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
37.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
37.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
37.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
36.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
36.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
36.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
36.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
36.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
36.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
36.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
36.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
35.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
35.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
35.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
35.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
35.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
35.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
34.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
34.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
34.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
34.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
33.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
33.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
33.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
33.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
33.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
33.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
33.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
33.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
32.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
32.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
32.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
32.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
32.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
32.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
32.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
32.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
31.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
31.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
31.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
31.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
31.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
31.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
30.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
30.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
30.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
30.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
30.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
30.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
30.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
30.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
30.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
30.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
29.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
29.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
29.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
28.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
28.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
28.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
28.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
28.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
28.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
28.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
27.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
27.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
26.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
26.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
26.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
26.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
26.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
26.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
26.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
26.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
26.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
25.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
25.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
25.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
25.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
25.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
25.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
25.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
25.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
25.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
24.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
24.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
24.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
24.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
24.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
24.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
24.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
23.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
23.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
23.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
23.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
23.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
23.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
23.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
23.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
23.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
23.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
23.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
23.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
22.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
22.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
22.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
22.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
22.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
22.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
22.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
22.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
22.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
21.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
21.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
21.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
21.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
21.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
21.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
21.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
21.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
21.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
20.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
20.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
20.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
20.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
20.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
20.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
20.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
20.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
20.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
20.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
20.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
19.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
19.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
19.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
19.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
19.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
18.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
18.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
18.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
18.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
18.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
18.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
18.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
18.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
17.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
17.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
17.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
17.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
17.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
17.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
16.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
16.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
16.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
16.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
16.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
16.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
16.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
16.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
16.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
16.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
16.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
16.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
16.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
15.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
15.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
15.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
15.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
15.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
15.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
14.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
14.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
14.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
14.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
14.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
14.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
14.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
14.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
13.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
13.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
13.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
12.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
12.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
12.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
11.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
10.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
8.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
7.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
5.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
PRKDC 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
66.6
Number of samples
486
Samples
Sample
Description
TPM
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
205.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
201.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
200.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
175.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
173.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
167.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
163.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
159.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
157.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
150.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
149.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
148.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
147.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
145.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
143.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
142.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
142.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
142.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
142.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
141.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
140.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
135.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
128.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
124.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
124.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
121.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
121.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
121.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
119.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
119.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
118.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
118.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
117.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
116.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
115.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
115.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
115.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
115.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
115.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
114.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
113.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
112.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
111.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
111.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
110.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
109.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
108.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
108.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
107.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
107.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
106.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
106.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
106.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
105.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
105.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
104.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
104.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
104.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
103.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
103.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
102.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
102.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
101.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
100.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
99.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
99.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
98.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
98.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
98.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
97.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
96.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
95.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
95.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
95.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
94.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
94.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
94.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
94.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
94.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
93.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
93.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
93.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
92.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
91.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
91.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
91.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
90.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
90.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
90.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
90.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
90.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
89.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
89.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
88.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
88.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
88.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
88.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
88.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
87.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
87.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
87.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
86.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
86.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
86.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
86.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
86.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
85.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
85.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
85.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
85.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
84.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
84.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
83.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
83.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
83.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
83.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
83.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
82.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
82.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
82.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
81.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
81.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
81.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
80.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
80.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
80.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
80.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
80.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
80.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
79.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
79.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
79.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
79.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
78.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
78.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
78.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
77.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
77.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
77.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
77.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
77.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
77.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
75.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
75.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
75.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
75.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
75.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
75.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
74.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
74.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
74.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
73.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
73.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
72.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
72.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
72.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
72.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
71.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
71.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
71.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
71.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
71.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
71.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
71.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
71.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
71.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
70.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
70.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
70.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
70.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
70.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
69.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
69.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
68.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
68.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
68.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
68.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
68.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
68.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
68.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
68.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
68.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
68.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
67.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
67.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
67.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
67.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
67.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
67.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
67.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
67.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
67.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
66.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
66.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
66.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
66.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
66.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
65.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
65.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
65.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
65.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
65.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
64.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
64.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
63.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
63.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
63.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
63.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
63.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
63.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
63.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
63.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
63.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
63.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
62.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
62.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
62.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
62.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
62.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
62.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
61.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
61.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
61.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
61.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
61.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
60.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
60.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
60.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
60.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
60.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
59.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
59.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
59.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
59.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
59.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
59.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
59.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
59.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
59.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
58.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
58.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
58.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
58.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
58.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
58.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
58.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
58.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
57.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
57.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
57.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
57.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
57.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
57.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
57.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
57.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
57.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
57.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
56.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
56.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
56.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
56.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
56.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
56.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
56.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
56.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
56.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
56.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
56.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
56.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
55.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
55.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
55.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
55.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
55.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
55.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
55.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
55.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
55.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
55.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
55.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
54.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
54.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
54.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
54.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
54.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
54.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
54.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
54.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
54.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
54.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
54.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
53.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
53.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
53.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
53.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
53.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
53.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
53.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
53.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
53.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
53.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
53.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
53.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
53.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
53.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
52.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
52.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
52.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
52.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
52.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
51.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
51.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
51.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
51.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
51.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
51.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
50.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
50.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
50.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
50.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
50.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
50.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
50.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
49.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
49.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
49.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
49.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
49.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
49.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
49.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
49.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
49.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
49.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
48.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
48.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
48.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
48.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
48.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
48.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
48.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
48.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
48.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
48.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
47.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
47.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
47.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
47.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
47.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
47.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
47.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
47.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
47.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
47.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
47.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
46.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
46.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
46.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
46.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
46.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
46.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
46.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
46.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
46.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
46.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
46.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
46.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
45.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
45.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
45.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
45.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
45.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
45.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
44.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
44.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
44.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
44.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
44.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
43.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
43.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
43.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
43.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
43.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
42.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
42.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
42.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
42.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
42.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
42.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
41.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
41.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
41.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
41.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
41.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
41.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
40.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
40.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
40.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
40.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
40.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
40.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
39.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
39.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
39.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
39.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
39.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
39.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
39.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
39.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
39.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
39.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
38.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
38.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
38.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
38.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
38.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
38.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
38.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
38.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
37.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
37.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
37.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
37.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
36.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
36.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
36.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
36.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
36.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
36.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
36.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
35.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
35.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
35.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
34.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
34.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
34.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
34.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
34.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
34.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
34.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
34.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
33.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
33.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
33.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
33.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
32.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
32.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
32.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
32.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
32.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
32.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
32.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
32.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
31.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
31.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
30.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
30.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
30.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
30.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
29.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
29.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
29.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
29.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
29.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
28.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
28.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
28.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
28.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
28.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
28.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
28.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
28.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
28.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
27.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
24.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
23.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
22.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
22.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
19.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
19.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.1
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.
PRKDC 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
31.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
134.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
79.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
69.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
68.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
66.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
62.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
50.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
49.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
48.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
46.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
46.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
44.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
44.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
43.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
43.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
42.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
42.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
42.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
40.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
40.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
39.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
39.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
38.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
37.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
35.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
35.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
34.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
34.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
33.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
33.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
33.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
32.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
31.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
31.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
31.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
31.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
30.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
30.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
30.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
29.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
29.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
29.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
28.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
28.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
28.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
28.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
27.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
27.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
27.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
26.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
26.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
26.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
26.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
25.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
25.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
25.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
25.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
25.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
23.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
23.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
23.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
23.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
22.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
22.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
22.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
21.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
21.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
21.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
20.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
20.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
20.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
19.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
19.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
18.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
18.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
18.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
18.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
17.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
16.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
16.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
16.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
15.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
13.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
10.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
10.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
6.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
6.1
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.
PRKDC is potential prognostic, high expression is favorable 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
63.7
Number of samples
207
Samples
Sample
Description
TPM
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
160.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
160.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
154.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
146.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
139.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
135.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
133.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
132.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
129.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
128.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
127.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
126.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
126.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
125.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
122.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
117.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
112.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
109.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
108.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
106.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
102.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
101.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
101.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
101.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
101.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
99.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
95.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
95.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
94.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
93.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
93.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
92.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
92.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
91.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
90.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
89.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
88.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
88.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
86.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
85.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
84.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
84.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
83.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
82.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
81.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
81.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
80.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
80.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
79.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
79.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
79.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
76.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
76.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
75.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
74.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
73.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
73.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
73.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
72.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
71.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
70.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
70.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
69.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
69.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
69.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
69.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
69.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
69.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
68.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
68.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
67.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
67.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
66.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
66.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
66.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
65.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
64.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
64.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
64.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
64.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
63.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
62.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
62.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
62.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
62.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
61.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
61.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
61.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
61.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
60.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
59.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
59.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
59.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
59.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
59.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
59.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
58.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
58.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
57.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
57.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
56.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
56.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
55.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
55.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
55.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
54.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
54.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
54.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
54.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
54.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
54.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
54.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
53.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
53.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
53.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
52.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
52.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
52.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
52.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
51.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
51.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
51.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
51.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
51.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
51.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
51.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
51.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
51.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
51.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
50.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
50.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
49.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
49.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
49.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
49.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
49.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
49.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
49.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
48.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
48.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
47.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
47.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
47.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
47.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
47.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
46.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
46.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
46.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
45.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
45.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
44.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
44.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
44.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
43.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
43.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
43.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
42.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
42.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
42.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
41.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
41.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
40.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
40.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
40.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
39.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
39.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
39.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
39.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
38.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
38.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
38.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
38.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
38.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
37.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
36.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
36.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
36.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
35.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
35.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
35.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
35.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
34.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
34.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
33.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
33.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
33.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
33.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
33.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
33.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
32.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
32.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
31.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
31.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
31.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
30.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
30.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
29.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
29.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
28.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
28.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
27.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
27.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
26.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
26.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
21.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
21.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.9
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.8
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.6
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.4
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_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
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
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Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
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
