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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.
SRC 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
34.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
97.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
92.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
86.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
83.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
76.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
74.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
70.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
70.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
67.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
64.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
63.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
61.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
60.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
60.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
60.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
60.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
59.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
58.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
58.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
58.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
57.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
56.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
56.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
56.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
55.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
55.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
55.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
54.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
54.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
54.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
54.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
52.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
52.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
52.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
51.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
51.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
51.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
50.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
50.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
50.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
49.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
49.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
48.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
48.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
48.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
47.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
47.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
47.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
47.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
47.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
47.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
46.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
46.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
46.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
46.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
45.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
45.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
45.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
44.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
44.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
44.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
44.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
43.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
43.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
43.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
43.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
43.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
43.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
42.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
42.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
42.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
42.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
41.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
41.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
40.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
40.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
40.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
39.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
39.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
39.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
39.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
39.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
39.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
39.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
38.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
38.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
38.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
38.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
38.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
37.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
37.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
37.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
37.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
37.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
37.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
37.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
37.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
37.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
37.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
37.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
36.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
36.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
36.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
35.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
35.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
35.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
35.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
35.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
34.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
34.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
34.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
34.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
34.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
34.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
34.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
34.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
33.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
33.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
33.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
33.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
33.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
33.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
32.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
32.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
32.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
32.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
32.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
32.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
32.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
32.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
32.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
31.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
31.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
31.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
31.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
31.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
30.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
30.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
30.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
30.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
30.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
30.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
29.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
29.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
29.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
29.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
29.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
28.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
28.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
28.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
28.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
27.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
27.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
27.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
27.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
27.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
27.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
27.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
27.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
27.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
27.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
27.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
26.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
26.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
26.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
26.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
26.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
26.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
26.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
26.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
26.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
25.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
25.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
25.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
25.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
24.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
24.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
24.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
24.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
24.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
24.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
24.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
24.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
24.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
23.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
23.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
23.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
23.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
23.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
23.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
22.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
22.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
22.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
22.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
22.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
22.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
22.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
21.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
21.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
21.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
21.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
21.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
21.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
21.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
20.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
20.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
20.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
20.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
20.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
20.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
20.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
20.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
19.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
19.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
19.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
19.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
19.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
19.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
18.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
18.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
18.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
18.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
17.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
17.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
17.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
17.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
17.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
17.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
17.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
17.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
16.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
16.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
16.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
16.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
16.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
16.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
15.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
15.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
14.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
14.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
14.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
13.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
13.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
12.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
12.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
12.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
12.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
9.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
9.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
9.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
9.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
8.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
6.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
SRC is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
42.5
Number of samples
486
Samples
Sample
Description
TPM
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
121.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
97.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
92.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
91.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
90.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
88.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
88.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
87.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
85.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
81.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
79.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
77.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
77.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
74.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
72.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
72.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
72.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
71.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
71.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
71.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
70.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
70.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
70.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
68.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
68.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
68.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
68.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
66.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
66.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
66.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
65.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
65.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
64.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
64.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
63.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
63.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
63.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
63.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
63.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
63.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
62.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
62.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
62.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
61.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
61.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
61.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
60.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
60.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
60.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
60.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
60.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
60.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
60.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
59.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
58.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
58.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
58.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
58.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
58.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
58.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
58.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
57.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
57.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
57.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
57.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
57.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
57.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
57.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
57.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
56.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
56.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
56.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
56.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
56.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
55.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
55.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
55.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
55.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
55.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
54.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
54.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
54.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
54.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
54.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
54.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
53.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
53.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
53.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
53.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
53.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
53.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
52.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
52.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
52.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
52.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
52.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
52.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
52.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
52.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
51.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
51.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
51.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
51.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
51.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
51.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
51.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
51.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
51.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
51.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
51.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
50.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
50.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
50.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
50.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
50.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
50.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
50.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
50.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
50.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
50.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
49.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
49.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
49.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
49.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
49.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
49.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
49.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
48.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
48.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
48.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
48.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
48.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
48.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
48.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
48.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
48.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
48.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
48.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
48.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
48.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
47.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
47.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
47.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
47.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
46.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
46.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
46.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
46.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
46.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
46.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
46.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
46.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
46.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
46.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
46.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
46.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
46.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
46.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
46.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
46.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
46.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
46.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
46.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
46.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
45.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
45.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
45.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
45.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
45.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
45.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
45.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
45.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
45.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
45.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
45.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
44.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
44.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
44.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
44.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
44.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
44.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
44.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
44.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
44.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
44.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
44.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
44.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
43.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
43.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
43.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
43.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
43.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
43.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
43.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
43.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
43.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
43.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
43.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
43.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
43.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
43.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
43.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
43.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
43.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
43.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
43.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
42.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
42.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
42.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
42.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
42.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
42.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
42.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
42.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
42.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
42.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
42.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
42.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
42.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
42.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
41.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
41.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
41.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
41.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
41.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
41.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
41.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
41.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
41.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
41.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
41.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
41.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
41.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
41.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
40.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
40.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
40.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
40.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
40.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
40.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
40.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
40.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
40.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
40.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
40.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
40.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
40.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
40.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
40.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
40.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
40.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
40.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
40.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
39.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
39.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
39.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
39.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
39.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
39.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
39.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
39.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
39.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
39.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
39.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
39.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
39.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
39.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
39.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
39.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
38.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
38.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
38.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
38.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
38.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
38.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
38.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
38.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
38.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
38.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
38.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
38.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
38.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
38.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
38.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
38.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
38.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
38.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
38.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
38.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
37.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
37.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
37.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
37.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
37.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
37.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
37.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
37.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
37.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
37.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
37.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
37.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
37.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
37.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
36.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
36.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
36.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
36.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
36.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
36.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
36.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
36.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
36.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
36.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
36.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
36.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
36.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
35.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
35.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
35.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
35.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
35.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
35.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
35.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
35.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
35.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
35.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
35.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
34.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
34.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
34.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
34.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
34.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
34.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
34.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
34.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
34.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
34.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
34.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
34.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
34.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
33.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
33.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
33.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
33.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
33.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
33.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
33.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
33.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
33.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
33.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
33.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
33.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
33.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
33.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
33.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
33.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
33.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
33.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
33.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
32.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
32.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
32.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
32.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
32.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
32.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
32.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
32.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
32.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
32.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
32.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
31.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
31.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
31.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
31.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
31.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
31.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
31.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
31.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
31.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
31.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
31.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
31.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
31.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
31.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
31.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
31.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
31.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
30.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
30.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
30.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
30.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
30.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
30.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
30.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
30.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
30.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
30.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
30.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
30.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
30.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
30.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
30.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
29.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
29.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
29.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
29.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
29.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
29.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
29.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
29.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
29.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
29.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
29.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
29.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
28.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
28.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
28.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
28.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
28.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
28.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
28.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
28.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
28.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
28.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
28.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
28.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
27.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
27.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
27.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
27.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
27.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
26.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
26.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
26.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
26.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
26.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
26.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
26.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
26.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
26.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
26.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
26.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
26.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
26.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
26.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
26.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
26.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
26.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
26.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
26.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
25.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
25.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
25.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
25.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
25.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
25.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
25.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
25.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
25.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
25.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
24.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
24.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
24.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
23.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
23.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
23.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
23.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
23.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
22.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
21.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
21.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
21.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
20.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
20.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
20.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
19.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
19.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
16.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
13.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
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.
SRC 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
36.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
109.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
68.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
66.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
63.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
61.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
60.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
59.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
58.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
57.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
56.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
56.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
54.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
53.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
51.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
51.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
50.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
50.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
50.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
49.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
49.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
47.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
47.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
47.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
44.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
44.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
43.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
43.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
43.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
43.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
43.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
42.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
42.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
41.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
39.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
38.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
38.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
38.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
37.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
37.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
37.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
36.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
35.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
35.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
35.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
35.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
34.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
34.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
33.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
33.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
32.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
32.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
31.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
31.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
31.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
30.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
30.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
30.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
30.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
29.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
29.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
28.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
27.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
27.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
27.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
26.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
26.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
25.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
25.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
24.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
24.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
23.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
23.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
22.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
22.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
21.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
19.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
17.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
16.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
15.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
15.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
15.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
14.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
13.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
10.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
9.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.4
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.
SRC is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
45.5
Number of samples
207
Samples
Sample
Description
TPM
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
88.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
88.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
77.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
75.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
74.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
73.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
73.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
69.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
69.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
69.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
69.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
69.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
68.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
66.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
66.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
65.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
65.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
63.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
63.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
62.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
62.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
61.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
61.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
60.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
60.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
60.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
60.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
60.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
59.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
59.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
59.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
58.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
58.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
58.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
57.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
57.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
57.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
57.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
57.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
56.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
56.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
56.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
56.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
56.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
55.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
55.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
55.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
55.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
54.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
53.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
52.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
52.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
51.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
51.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
51.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
51.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
51.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
50.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
50.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
50.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
50.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
50.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
49.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
49.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
49.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
49.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
49.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
49.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
49.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
49.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
49.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
49.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
48.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
48.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
48.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
48.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
48.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
48.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
47.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
47.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
47.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
47.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
47.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
47.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
47.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
47.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
46.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
46.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
46.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
46.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
45.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
45.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
45.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
45.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
45.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
45.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
45.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
45.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
45.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
44.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
44.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
44.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
44.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
44.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
44.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
44.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
44.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
43.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
43.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
43.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
43.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
42.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
42.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
42.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
42.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
42.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
42.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
42.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
42.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
42.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
41.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
41.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
41.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
41.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
41.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
41.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
41.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
41.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
41.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
40.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
40.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
39.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
39.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
39.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
39.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
39.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
39.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
39.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
39.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
38.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
38.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
38.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
38.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
38.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
38.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
38.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
38.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
38.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
37.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
37.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
37.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
37.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
37.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
37.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
37.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
37.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
36.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
36.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
36.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
36.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
36.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
36.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
36.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
36.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
35.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
35.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
35.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
35.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
35.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
35.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
34.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
34.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
34.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
34.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
33.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
33.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
33.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
33.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
33.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
33.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
33.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
32.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
32.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
32.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
31.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
30.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
30.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
30.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
30.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
29.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
29.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
29.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
29.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
29.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
28.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
28.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
27.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
25.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
25.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
24.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
23.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
22.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
21.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
20.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
19.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
18.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.8
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
