We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
SIGIRR 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
41.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
95.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
90.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
87.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
85.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
84.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
80.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
79.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
78.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
74.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
71.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
70.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
67.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
67.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
66.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
64.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
64.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
64.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
64.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
63.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
63.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
62.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
62.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
62.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
62.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
61.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
61.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
60.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
60.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
58.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
58.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
57.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
57.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
56.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
56.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
56.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
55.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
55.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
55.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
55.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
55.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
55.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
54.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
54.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
54.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
54.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
53.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
53.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
53.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
53.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
53.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
52.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
52.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
52.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
52.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
52.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
52.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
52.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
52.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
52.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
51.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
51.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
51.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
51.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
51.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
50.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
50.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
50.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
49.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
49.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
49.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
49.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
49.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
49.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
48.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
48.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
48.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
48.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
48.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
48.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
47.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
47.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
47.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
47.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
47.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
47.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
47.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
46.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
46.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
45.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
45.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
45.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
45.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
45.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
44.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
43.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
43.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
43.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
43.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
43.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
43.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
43.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
42.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
42.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
42.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
42.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
42.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
42.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
42.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
42.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
42.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
42.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
41.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
41.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
41.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
41.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
41.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
41.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
40.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
40.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
40.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
40.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
40.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
39.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
39.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
39.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
39.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
39.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
39.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
39.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
39.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
38.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
38.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
38.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
38.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
38.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
38.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
38.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
38.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
38.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
37.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
37.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
37.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
37.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
37.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
37.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
37.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
37.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
37.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
36.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
36.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
36.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
36.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
36.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
36.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
36.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
36.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
36.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
36.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
36.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
36.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
36.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
35.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
35.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
35.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
35.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
35.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
35.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
35.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
34.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
34.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
34.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
34.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
34.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
34.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
34.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
34.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
34.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
34.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
33.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
33.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
33.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
33.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
33.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
33.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
32.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
32.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
32.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
32.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
32.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
32.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
31.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
31.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
31.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
31.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
31.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
31.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
31.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
31.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
31.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
30.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
30.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
30.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
30.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
30.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
30.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
30.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
30.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
29.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
29.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
29.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
28.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
28.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
28.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
28.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
28.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
27.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
27.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
27.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
27.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
27.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
27.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
26.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
26.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
26.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
26.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
26.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
26.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
26.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
25.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
25.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
24.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
24.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
24.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
24.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
24.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
24.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
23.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
23.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
23.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
23.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
23.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
22.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
22.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
22.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
20.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
20.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
18.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
18.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
17.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
15.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
12.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
9.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
7.0
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.
SIGIRR 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
32.9
Number of samples
486
Samples
Sample
Description
TPM
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
69.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
62.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
62.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
61.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
61.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
58.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
57.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
57.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
56.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
54.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
53.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
53.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
52.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
52.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
51.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
51.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
51.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
51.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
50.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
49.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
49.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
49.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
49.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
49.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
48.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
48.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
48.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
48.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
48.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
47.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
47.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
47.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
47.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
47.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
47.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
47.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
47.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
47.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
46.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
46.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
46.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
46.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
46.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
46.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
45.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
45.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
45.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
45.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
45.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
45.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
44.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
44.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
44.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
44.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
44.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
44.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
44.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
44.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
44.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
43.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
43.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
43.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
43.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
43.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
43.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
42.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
42.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
42.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
42.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
42.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
42.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
42.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
42.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
42.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
42.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
41.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
41.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
41.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
41.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
41.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
41.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
41.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
41.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
41.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
41.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
41.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
40.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
40.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
40.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
40.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
40.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
40.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
40.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
40.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
40.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
40.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
40.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
40.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
40.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
40.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
39.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
39.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
39.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
39.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
39.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
39.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
39.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
39.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
39.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
39.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
39.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
39.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
39.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
39.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
38.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
38.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
38.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
38.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
38.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
38.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
38.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
38.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
38.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
38.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
38.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
38.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
38.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
38.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
38.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
38.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
37.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
37.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
37.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
37.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
37.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
37.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
37.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
37.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
37.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
37.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
37.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
37.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
37.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
36.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
36.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
36.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
36.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
36.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
36.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
36.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
36.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
36.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
36.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
36.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
36.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
36.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
36.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
36.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
36.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
36.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
36.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
36.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
36.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
36.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
35.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
35.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
35.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
35.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
35.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
35.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
35.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
35.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
35.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
35.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
35.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
35.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
35.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
35.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
35.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
35.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
34.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
34.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
34.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
34.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
34.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
34.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
34.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
34.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
34.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
34.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
34.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
34.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
34.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
34.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
34.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
34.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
34.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
34.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
34.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
34.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
34.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
34.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
34.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
34.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
34.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
33.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
33.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
33.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
33.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
33.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
33.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
33.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
33.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
33.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
33.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
33.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
33.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
33.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
33.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
33.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
33.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
33.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
33.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
33.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
33.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
33.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
33.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
33.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
32.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
32.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
32.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
32.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
32.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
32.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
32.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
32.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
32.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
32.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
32.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
32.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
32.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
32.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
32.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
32.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
32.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
32.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
32.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
32.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
32.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
32.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
31.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
31.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
31.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
31.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
31.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
31.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
31.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
31.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
31.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
31.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
31.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
31.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
31.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
31.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
31.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
31.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
31.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
31.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
31.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
31.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
31.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
30.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
30.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
30.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
30.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
30.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
30.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
30.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
30.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
30.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
30.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
30.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
30.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
30.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
30.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
30.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
30.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
30.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
30.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
30.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
30.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
30.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
30.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
30.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
30.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
30.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
30.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
30.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
30.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
30.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
30.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
29.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
29.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
29.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
29.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
29.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
29.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
29.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
29.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
29.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
29.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
29.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
29.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
29.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
29.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
29.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
29.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
29.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
29.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
29.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
29.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
29.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
29.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
29.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
29.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
28.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
28.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
28.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
28.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
28.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
28.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
28.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
28.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
28.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
28.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
28.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
28.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
28.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
28.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
28.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
28.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
28.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
28.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
27.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
27.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
27.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
27.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
27.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
27.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
27.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
27.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
27.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
27.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
27.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
27.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
27.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
27.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
27.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
27.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
27.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
27.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
27.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
26.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
26.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
26.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
26.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
26.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
26.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
26.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
26.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
26.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
26.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
26.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
26.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
26.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
26.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
26.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
26.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
25.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
25.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
25.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
25.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
25.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
25.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
25.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
25.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
25.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
25.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
25.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
25.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
25.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
25.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
25.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
24.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
24.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
24.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
24.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
24.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
24.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
24.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
24.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
24.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
24.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
24.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
24.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
24.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
24.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
24.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
24.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
24.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
23.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
23.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
23.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
23.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
23.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
23.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
23.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
23.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
23.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
22.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
22.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
22.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
22.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
22.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
22.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
22.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
22.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
22.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
22.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
21.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
21.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
21.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
21.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
21.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
21.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
21.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
20.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
20.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
20.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
20.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
20.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
20.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
20.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
20.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
20.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
19.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
19.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
19.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
19.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
19.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
19.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
19.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
19.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
19.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
19.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
18.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
18.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
18.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
17.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
17.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
17.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
17.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
17.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
17.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
17.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
17.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
17.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
17.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
17.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
17.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
16.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
15.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
14.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
14.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
12.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
12.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
12.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
11.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
11.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
5.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.8
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.
SIGIRR 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
40.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
121.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
101.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
76.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
68.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
64.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
63.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
62.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
62.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
59.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
59.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
57.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
57.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
54.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
54.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
52.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
50.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
48.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
48.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
48.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
47.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
46.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
46.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
46.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
45.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
45.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
45.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
44.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
43.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
43.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
42.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
42.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
42.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
41.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
41.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
41.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
40.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
39.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
39.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
39.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
39.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
38.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
38.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
37.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
37.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
36.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
36.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
35.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
35.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
35.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
35.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
34.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
34.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
33.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
33.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
33.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
33.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
32.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
32.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
32.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
32.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
32.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
32.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
31.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
31.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
31.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
31.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
30.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
30.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
30.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
29.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
29.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
28.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
28.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
27.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
27.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
27.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
27.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
26.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
26.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
25.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
24.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
24.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
23.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
23.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
23.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
22.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
19.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 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.
SIGIRR 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
30.6
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
62.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
58.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
57.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
56.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
54.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
52.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
51.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
51.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
50.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
50.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
49.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
48.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
47.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
46.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
45.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
45.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
44.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
43.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
42.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
42.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
42.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
42.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
41.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
41.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
41.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
40.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
40.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
40.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
40.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
39.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
39.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
39.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
38.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
38.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
38.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
38.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
38.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
38.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
37.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
37.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
36.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
36.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
36.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
36.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
36.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
36.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
36.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
36.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
36.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
36.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
36.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
35.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
35.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
35.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
35.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
34.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
34.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
34.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
34.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
34.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
34.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
34.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
34.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
33.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
33.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
33.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
33.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
33.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
33.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
33.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
32.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
32.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
32.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
32.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
32.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
32.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
32.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
32.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
32.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
32.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
31.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
31.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
31.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
31.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
31.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
31.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
31.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
31.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
31.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
31.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
31.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
30.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
30.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
30.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
30.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
30.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
30.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
30.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
30.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
29.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
29.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
29.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
29.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
29.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
29.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
29.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
29.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
29.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
29.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
29.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
29.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
28.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
28.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
28.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
28.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
28.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
28.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
28.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
28.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
27.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
27.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
27.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
27.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
27.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
27.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
27.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
27.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
27.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
27.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
27.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
27.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
26.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
26.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
26.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
26.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
26.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
26.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
26.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
26.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
26.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
26.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
25.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
25.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
25.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
25.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
25.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
25.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
25.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
25.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
25.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
24.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
24.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
24.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
24.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
24.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
24.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
24.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
24.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
24.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
23.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
23.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
23.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
23.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
23.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
23.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
23.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
23.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
23.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
23.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
23.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
22.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
22.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
22.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
21.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
21.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
21.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
21.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
21.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
21.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
21.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
21.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
20.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
20.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
20.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
20.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
19.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
19.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
19.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
19.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
19.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
19.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
18.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
18.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
18.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
18.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
16.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
16.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
16.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
16.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
15.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
15.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
15.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
14.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
14.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
11.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.4
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5e886f1c-8165-4232-9591-d80799_D2
Normal
1.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
1.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
1.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
1.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.8
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.8
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.8
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.7
b2400046-1d25-429d-a821-6040a6
Tumor
0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.7
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.7
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.6
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.6
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.6
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.6
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.7
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.8
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-1.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-1.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-1.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-1.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-1.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-1.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-1.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-1.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
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
