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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.
TCIRG1 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
27.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
74.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
65.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
63.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
62.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
59.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
57.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
55.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
54.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
54.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
54.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
53.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
53.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
52.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
52.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
51.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
51.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
50.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
50.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
49.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
48.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
48.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
47.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
47.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
47.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
47.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
46.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
46.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
45.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
45.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
45.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
44.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
43.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
43.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
43.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
42.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
42.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
42.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
42.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
42.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
41.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
41.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
41.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
41.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
40.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
39.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
39.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
39.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
38.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
38.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
38.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
38.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
38.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
37.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
37.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
36.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
36.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
35.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
35.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
35.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
34.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
34.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
34.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
34.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
34.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
33.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
33.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
33.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
33.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
32.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
32.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
32.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
32.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
32.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
31.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
31.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
31.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
31.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
31.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
31.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
30.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
30.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
30.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
30.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
29.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
29.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
29.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
29.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
29.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
29.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
29.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
29.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
28.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
28.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
28.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
28.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
28.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
28.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
28.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
28.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
28.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
28.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
27.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
27.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
27.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
27.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
27.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
27.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
27.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
27.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
27.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
26.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
26.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
26.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
26.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
26.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
25.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
25.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
25.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
25.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
25.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
24.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
24.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
24.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
24.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
24.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
24.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
24.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
24.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
24.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
24.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
24.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
24.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
24.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
24.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
24.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
23.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
23.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
23.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
23.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
23.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
23.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
23.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
23.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
23.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
23.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
23.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
23.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
23.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
22.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
22.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
22.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
22.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
22.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
22.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
22.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
22.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
22.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
22.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
22.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
21.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
21.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
21.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
21.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
21.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
21.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
21.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
21.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
21.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
21.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
21.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
21.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
21.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
21.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
21.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
20.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
20.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
20.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
20.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
20.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
20.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
20.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
19.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
19.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
19.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
19.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
19.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
19.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
19.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
19.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
19.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
18.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
18.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
18.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
18.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
18.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
18.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
18.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
18.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
17.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
17.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
17.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
17.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
17.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
17.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
16.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
16.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
16.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
16.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
16.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
16.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
15.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
15.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
15.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
15.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
15.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
15.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
15.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
14.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
14.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
14.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
13.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
13.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
13.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
13.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
13.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
13.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
13.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
13.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
13.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
13.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
12.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
12.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
12.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
12.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
11.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
11.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
11.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
11.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
11.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
11.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
11.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
10.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
10.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
10.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
10.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
9.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
8.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
8.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
8.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
7.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
7.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
6.0
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.
TCIRG1 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
50.2
Number of samples
486
Samples
Sample
Description
TPM
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
147.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
128.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
123.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
111.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
107.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
105.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
101.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
101.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
95.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
95.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
95.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
94.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
93.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
93.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
91.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
89.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
88.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
86.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
85.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
85.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
84.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
83.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
83.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
83.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
82.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
82.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
81.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
81.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
81.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
79.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
79.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
78.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
77.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
77.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
76.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
76.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
76.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
76.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
76.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
75.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
75.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
75.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
75.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
74.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
74.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
74.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
74.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
74.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
73.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
73.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
73.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
72.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
72.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
72.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
72.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
71.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
71.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
71.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
71.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
71.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
71.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
70.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
70.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
70.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
70.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
69.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
69.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
69.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
69.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
69.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
69.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
69.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
68.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
68.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
68.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
68.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
67.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
67.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
67.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
67.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
66.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
66.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
66.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
66.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
66.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
65.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
65.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
65.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
65.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
65.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
64.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
64.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
64.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
64.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
64.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
64.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
63.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
63.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
62.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
62.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
62.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
62.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
62.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
61.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
61.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
61.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
61.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
61.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
61.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
61.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
61.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
61.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
61.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
60.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
60.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
60.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
60.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
60.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
60.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
60.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
60.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
59.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
59.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
59.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
59.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
59.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
59.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
59.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
59.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
59.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
59.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
59.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
59.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
59.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
58.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
58.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
58.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
58.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
58.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
58.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
58.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
58.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
58.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
58.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
57.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
57.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
57.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
57.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
57.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
57.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
57.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
56.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
56.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
56.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
56.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
56.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
56.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
56.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
56.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
56.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
56.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
55.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
55.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
55.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
55.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
55.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
55.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
55.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
54.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
54.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
54.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
54.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
54.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
54.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
54.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
54.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
54.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
54.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
53.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
53.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
53.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
53.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
53.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
53.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
53.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
53.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
53.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
53.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
53.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
53.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
52.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
52.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
52.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
52.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
52.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
52.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
52.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
52.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
52.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
52.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
52.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
52.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
51.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
51.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
51.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
51.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
51.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
51.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
51.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
51.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
51.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
50.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
50.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
50.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
50.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
50.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
50.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
50.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
50.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
50.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
50.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
50.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
49.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
49.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
49.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
49.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
49.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
49.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
49.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
49.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
49.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
48.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
48.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
48.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
48.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
48.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
48.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
48.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
48.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
48.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
48.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
48.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
48.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
48.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
48.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
47.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
47.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
47.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
47.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
47.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
47.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
47.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
47.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
47.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
46.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
46.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
46.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
46.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
46.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
46.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
46.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
46.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
46.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
46.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
46.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
46.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
45.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
45.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
45.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
45.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
45.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
45.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
45.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
45.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
45.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
45.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
44.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
44.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
44.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
44.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
44.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
44.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
44.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
44.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
44.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
44.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
44.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
44.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
44.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
43.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
43.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
43.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
43.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
43.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
43.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
43.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
43.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
43.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
43.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
43.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
43.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
42.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
42.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
42.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
42.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
42.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
42.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
42.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
42.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
42.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
42.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
42.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
42.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
41.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
41.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
41.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
41.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
41.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
41.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
41.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
41.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
41.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
41.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
41.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
40.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
40.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
40.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
40.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
40.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
40.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
40.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
40.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
40.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
40.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
40.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
40.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
40.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
40.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
39.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
39.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
39.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
39.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
39.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
39.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
39.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
39.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
39.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
39.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
39.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
38.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
38.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
38.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
38.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
38.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
38.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
38.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
38.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
38.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
38.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
38.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
38.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
38.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
38.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
37.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
37.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
37.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
37.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
37.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
37.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
37.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
37.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
36.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
36.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
36.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
36.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
36.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
36.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
36.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
36.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
36.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
36.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
36.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
36.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
35.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
35.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
35.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
35.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
35.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
35.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
35.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
35.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
34.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
34.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
34.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
34.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
34.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
34.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
33.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
33.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
33.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
33.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
33.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
33.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
33.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
33.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
33.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
33.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
33.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
33.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
32.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
32.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
32.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
32.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
32.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
32.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
32.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
32.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
32.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
31.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
31.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
31.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
31.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
31.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
31.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
31.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
31.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
31.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
30.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
30.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
30.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
30.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
30.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
30.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
30.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
30.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
30.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
29.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
29.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
29.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
29.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
29.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
29.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
29.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
28.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
28.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
28.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
28.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
27.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
27.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
27.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
26.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
26.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
26.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
26.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
26.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
25.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
25.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
25.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
25.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
24.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
24.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
23.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
23.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
23.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
23.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
23.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
22.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
22.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
22.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
22.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
22.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
22.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
21.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
21.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
20.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
20.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
20.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
20.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
15.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
15.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
15.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
14.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
6.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TCIRG1 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
23.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
60.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
55.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
53.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
50.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
46.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
44.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
43.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
42.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
38.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
38.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
38.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
37.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
37.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
33.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
33.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
31.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
31.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
31.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
30.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
30.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
28.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
28.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
27.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
27.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
26.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
26.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
25.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
24.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
24.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
24.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
24.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
24.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
23.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
23.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
23.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
22.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
22.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
22.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
21.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
21.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
21.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
21.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
21.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
21.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
21.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
20.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
20.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
20.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
20.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
19.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
19.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
17.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
17.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
17.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
17.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
17.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
17.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
16.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
16.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
16.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
16.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
16.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
15.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
15.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
15.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
15.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
15.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
15.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
15.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
14.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
14.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
14.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
14.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
14.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
14.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
14.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
13.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
13.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
11.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
11.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
11.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
11.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
10.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
10.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
9.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
9.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
7.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 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.
TCIRG1 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
41.6
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
96.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
88.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
86.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
78.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
77.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
76.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
73.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
73.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
72.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
69.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
66.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
66.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
65.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
65.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
63.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
63.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
63.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
63.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
62.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
62.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
62.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
61.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
60.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
60.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
59.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
59.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
57.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
56.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
55.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
55.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
54.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
54.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
53.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
53.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
53.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
52.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
52.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
52.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
52.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
52.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
51.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
51.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
51.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
51.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
50.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
50.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
50.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
50.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
50.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
49.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
49.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
49.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
49.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
48.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
48.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
48.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
47.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
47.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
47.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
47.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
47.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
46.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
46.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
46.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
46.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
46.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
45.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
45.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
45.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
45.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
45.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
45.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
45.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
45.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
44.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
44.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
44.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
44.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
44.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
44.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
43.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
43.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
43.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
43.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
43.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
43.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
42.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
42.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
42.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
42.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
42.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
42.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
41.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
41.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
41.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
41.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
41.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
41.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
41.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
41.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
40.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
40.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
40.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
40.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
39.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
39.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
39.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
39.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
39.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
38.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
38.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
38.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
38.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
38.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
37.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
37.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
37.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
37.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
37.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
37.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
37.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
37.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
37.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
37.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
37.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
36.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
36.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
36.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
36.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
36.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
36.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
36.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
36.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
36.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
35.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
35.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
35.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
34.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
34.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
34.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
34.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
34.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
34.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
33.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
33.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
33.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
32.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
32.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
32.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
32.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
32.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
32.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
32.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
32.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
31.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
31.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
31.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
31.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
31.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
30.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
30.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
30.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
30.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
30.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
30.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
29.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
29.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
29.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
29.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
28.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
28.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
28.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
28.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
27.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
27.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
27.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
27.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
27.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
26.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
26.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
26.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
26.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
26.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
26.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
25.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
25.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
25.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
25.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
24.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
23.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
23.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
22.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
22.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
22.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
22.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
21.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
21.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
20.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
20.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
20.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
20.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
16.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
16.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
14.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
13.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
2.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
1.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.6
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.6
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.5
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.7
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.7
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.9
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-1.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.2
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
