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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.
SCRIB 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
25.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
98.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
96.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
79.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
70.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
65.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
65.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
64.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
61.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
56.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
56.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
54.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
52.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
50.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
48.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
48.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
47.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
45.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
44.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
43.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
43.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
42.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
41.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
41.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
41.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
41.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
41.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
40.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
40.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
40.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
39.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
39.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
38.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
38.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
37.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
37.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
36.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
36.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
36.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
36.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
36.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
36.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
35.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
35.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
35.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
34.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
34.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
34.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
34.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
33.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
33.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
33.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
32.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
31.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
31.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
31.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
31.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
31.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
30.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
30.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
30.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
30.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
30.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
30.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
30.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
30.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
30.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
30.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
30.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
30.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
29.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
29.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
29.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
29.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
29.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
29.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
29.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
29.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
29.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
29.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
28.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
28.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
28.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
28.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
28.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
28.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
28.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
28.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
28.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
28.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
28.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
28.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
27.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
27.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
27.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
27.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
27.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
27.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
27.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
26.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
26.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
26.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
26.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
26.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
25.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
25.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
25.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
25.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
25.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
25.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
25.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
25.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
25.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
25.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
25.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
25.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
25.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
24.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
24.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
24.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
24.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
24.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
24.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
24.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
24.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
24.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
23.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
23.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
23.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
23.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
23.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
23.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
23.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
23.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
23.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
23.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
23.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
23.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
23.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
23.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
23.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
23.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
22.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
22.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
22.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
22.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
22.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
22.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
21.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
21.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
21.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
21.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
21.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
21.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
21.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
21.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
21.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
20.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
20.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
20.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
20.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
20.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
20.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
20.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
20.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
20.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
20.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
20.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
20.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
19.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
19.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
19.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
19.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
18.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
18.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
18.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
18.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
18.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
18.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
18.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
18.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
18.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
17.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
17.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
17.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
17.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
17.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
17.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
17.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
17.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
17.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
16.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
16.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
16.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
16.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
16.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
16.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
16.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
16.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
15.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
15.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
15.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
15.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
15.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
15.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
15.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
14.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
14.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
14.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
14.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
14.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
14.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
14.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
14.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
14.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
13.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
13.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
13.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
13.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
13.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
13.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
12.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
12.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
12.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
12.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
12.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
12.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
12.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
12.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
12.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
12.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
12.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
11.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
11.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
11.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
11.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
11.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
11.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
11.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
11.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
11.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
10.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
10.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
9.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
8.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
7.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
7.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
6.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
5.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
5.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
5.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
4.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
3.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
2.6
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.
SCRIB 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
45.7
Number of samples
486
Samples
Sample
Description
TPM
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
144.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
107.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
105.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
103.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
103.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
101.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
98.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
95.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
94.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
88.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
88.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
87.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
85.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
85.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
84.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
84.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
83.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
82.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
81.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
81.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
80.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
79.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
79.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
78.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
78.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
78.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
77.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
77.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
77.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
77.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
76.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
75.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
75.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
75.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
75.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
75.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
74.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
74.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
74.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
73.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
73.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
71.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
71.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
71.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
70.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
70.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
70.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
70.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
69.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
68.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
68.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
68.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
67.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
66.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
66.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
66.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
66.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
66.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
65.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
65.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
65.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
64.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
63.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
63.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
63.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
63.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
62.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
62.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
62.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
62.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
61.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
61.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
61.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
61.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
61.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
60.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
60.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
60.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
60.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
60.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
60.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
59.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
59.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
59.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
58.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
58.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
58.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
57.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
57.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
57.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
57.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
57.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
57.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
57.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
57.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
57.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
56.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
56.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
56.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
56.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
56.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
56.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
56.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
56.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
56.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
56.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
56.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
56.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
55.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
55.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
55.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
55.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
55.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
55.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
54.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
54.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
54.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
54.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
54.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
54.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
54.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
54.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
53.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
53.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
53.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
53.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
53.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
53.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
53.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
53.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
53.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
53.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
52.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
52.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
52.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
52.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
52.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
52.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
52.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
52.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
52.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
51.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
51.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
51.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
51.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
51.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
51.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
51.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
51.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
51.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
51.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
50.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
50.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
50.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
50.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
50.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
50.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
50.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
50.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
50.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
50.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
50.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
50.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
49.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
49.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
49.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
49.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
49.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
49.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
49.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
49.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
49.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
49.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
49.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
49.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
48.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
48.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
48.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
48.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
48.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
48.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
48.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
48.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
48.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
48.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
48.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
48.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
48.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
48.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
48.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
48.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
48.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
47.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
47.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
47.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
47.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
47.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
47.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
47.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
47.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
46.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
46.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
46.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
46.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
46.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
46.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
46.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
45.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
45.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
45.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
45.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
45.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
45.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
45.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
45.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
45.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
45.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
45.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
45.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
45.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
45.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
45.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
44.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
44.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
44.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
44.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
44.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
44.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
43.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
43.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
43.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
43.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
43.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
43.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
43.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
43.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
43.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
43.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
43.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
42.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
42.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
42.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
42.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
42.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
42.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
42.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
42.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
42.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
42.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
41.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
41.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
41.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
41.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
41.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
41.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
41.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
41.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
41.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
41.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
41.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
41.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
41.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
41.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
41.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
41.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
41.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
41.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
40.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
40.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
40.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
40.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
40.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
40.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
40.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
40.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
40.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
40.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
40.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
39.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
39.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
39.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
39.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
39.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
39.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
39.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
39.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
39.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
39.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
39.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
39.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
39.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
39.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
39.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
39.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
39.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
38.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
38.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
38.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
38.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
38.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
38.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
38.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
38.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
38.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
38.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
38.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
38.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
37.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
37.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
37.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
37.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
37.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
37.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
37.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
37.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
37.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
37.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
37.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
37.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
37.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
37.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
37.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
36.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
36.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
36.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
36.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
36.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
36.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
36.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
36.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
36.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
36.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
36.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
36.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
36.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
36.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
35.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
35.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
35.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
35.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
35.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
35.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
35.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
35.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
35.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
35.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
35.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
35.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
35.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
35.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
34.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
34.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
34.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
34.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
34.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
34.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
34.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
34.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
34.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
34.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
34.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
34.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
34.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
33.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
33.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
33.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
33.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
33.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
33.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
33.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
33.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
33.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
33.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
33.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
33.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
33.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
32.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
32.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
32.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
32.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
32.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
32.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
32.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
32.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
32.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
32.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
32.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
32.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
31.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
31.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
31.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
31.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
31.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
31.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
31.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
31.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
31.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
31.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
31.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
31.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
31.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
31.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
31.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
31.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
31.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
30.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
30.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
30.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
30.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
30.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
30.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
30.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
30.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
29.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
29.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
29.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
29.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
29.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
29.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
29.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
29.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
28.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
28.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
28.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
28.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
28.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
28.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
28.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
28.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
28.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
28.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
28.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
28.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
27.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
27.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
27.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
27.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
27.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
26.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
26.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
26.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
26.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
26.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
26.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
26.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
25.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
25.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
25.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
25.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
25.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
25.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
25.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
24.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
24.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
24.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
24.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
24.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
24.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
24.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
23.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
23.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
23.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
23.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
21.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
21.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
21.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
21.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
19.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
19.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
18.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
18.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
18.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
18.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
17.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
17.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
16.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
13.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
13.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
13.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
12.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
4.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.6
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.
SCRIB 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
23.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
81.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
49.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
47.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
46.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
44.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
42.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
37.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
36.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
35.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
34.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
33.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
33.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
33.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
33.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
31.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
31.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
30.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
30.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
29.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
29.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
29.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
28.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
28.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
28.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
27.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
27.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
27.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
26.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
25.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
25.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
25.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
24.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
24.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
24.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
23.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
23.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
22.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
22.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
22.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
22.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
21.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
21.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
21.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
21.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
21.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
21.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
21.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
21.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
20.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
20.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
20.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
20.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
19.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
19.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
19.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
18.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
18.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
17.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
17.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
17.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
16.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
16.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
15.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
15.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
15.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
14.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
14.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
14.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
14.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
14.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
14.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
13.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
13.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
12.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
12.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
12.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
12.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
11.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
11.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
11.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
11.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
10.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
10.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
10.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
8.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
8.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
5.8
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.
SCRIB 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
48.0
Number of samples
207
Samples
Sample
Description
TPM
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
165.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
110.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
105.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
99.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
97.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
95.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
94.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
90.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
86.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
82.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
81.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
78.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
77.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
74.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
73.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
72.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
72.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
70.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
70.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
69.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
68.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
68.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
68.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
68.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
67.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
66.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
66.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
65.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
65.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
63.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
62.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
62.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
62.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
61.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
61.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
61.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
60.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
60.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
60.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
60.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
60.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
60.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
59.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
59.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
59.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
59.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
59.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
58.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
58.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
58.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
57.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
57.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
57.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
56.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
56.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
56.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
56.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
55.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
54.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
54.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
54.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
54.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
54.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
54.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
53.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
53.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
53.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
53.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
52.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
52.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
52.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
52.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
52.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
51.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
51.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
51.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
50.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
50.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
50.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
50.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
50.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
50.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
50.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
49.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
49.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
49.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
49.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
49.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
49.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
48.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
48.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
48.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
47.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
47.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
47.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
46.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
46.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
46.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
46.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
45.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
45.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
45.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
44.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
44.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
44.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
44.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
44.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
44.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
44.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
44.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
43.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
43.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
43.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
43.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
42.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
42.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
42.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
42.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
42.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
42.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
42.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
41.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
41.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
41.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
41.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
41.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
40.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
40.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
40.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
40.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
40.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
40.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
40.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
39.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
39.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
39.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
39.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
38.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
38.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
38.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
38.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
37.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
37.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
36.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
36.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
36.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
36.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
36.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
36.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
36.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
35.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
35.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
34.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
34.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
34.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
34.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
33.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
33.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
33.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
33.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
33.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
33.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
33.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
33.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
32.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
32.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
32.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
32.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
32.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
31.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
31.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
31.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
31.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
31.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
30.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
30.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
30.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
30.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
29.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
29.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
29.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
29.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
28.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
28.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
28.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
28.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
28.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
27.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
27.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
27.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
26.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
26.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
26.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
26.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
26.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
26.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
25.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
25.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
23.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
23.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
23.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
22.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
22.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
21.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
19.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
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Normal
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
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Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
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Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
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Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
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Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
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Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
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Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
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Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
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Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
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Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
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Normal
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
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Tumor
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.0
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
