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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PTPN11 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
32.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
113.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
112.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
98.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
96.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
91.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
65.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
58.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
56.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
54.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
54.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
53.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
53.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
53.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
53.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
53.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
52.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
49.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
49.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
49.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
47.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
47.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
46.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
46.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
45.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
45.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
45.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
43.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
43.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
43.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
43.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
42.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
42.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
41.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
41.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
41.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
41.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
41.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
41.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
41.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
40.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
40.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
40.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
40.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
40.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
40.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
39.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
39.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
39.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
39.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
39.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
39.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
39.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
39.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
38.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
38.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
38.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
38.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
38.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
38.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
38.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
38.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
38.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
37.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
37.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
37.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
37.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
37.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
37.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
36.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
36.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
36.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
36.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
36.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
36.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
36.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
36.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
36.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
36.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
35.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
35.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
35.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
35.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
35.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
35.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
35.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
34.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
34.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
34.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
34.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
34.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
34.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
34.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
34.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
33.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
33.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
33.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
33.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
33.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
33.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
33.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
32.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
32.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
32.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
32.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
32.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
32.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
32.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
32.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
32.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
32.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
32.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
32.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
31.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
31.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
31.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
31.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
31.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
31.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
31.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
31.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
30.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
30.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
30.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
30.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
30.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
30.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
30.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
30.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
30.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
29.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
29.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
29.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
29.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
29.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
29.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
29.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
29.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
29.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
29.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
29.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
28.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
28.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
28.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
28.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
28.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
28.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
28.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
28.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
28.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
28.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
28.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
27.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
27.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
27.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
27.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
27.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
27.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
27.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
27.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
27.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
27.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
27.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
27.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
27.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
27.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
26.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
26.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
26.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
26.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
26.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
25.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
25.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
25.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
25.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
25.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
25.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
24.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
24.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
24.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
24.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
24.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
24.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
24.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
24.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
24.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
24.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
24.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
23.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
23.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
23.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
23.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
23.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
23.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
23.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
23.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
23.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
23.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
23.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
23.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
22.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
22.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
22.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
22.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
22.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
22.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
22.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
22.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
21.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
21.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
21.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
21.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
21.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
21.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
21.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
20.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
20.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
20.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
20.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
20.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
20.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
20.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
19.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
19.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
19.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
19.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
19.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
18.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
18.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
18.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
18.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
18.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
18.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
17.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
17.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
17.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
16.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
16.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
16.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
16.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
16.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
15.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
15.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
15.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
15.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
15.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
14.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
14.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
14.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
14.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
13.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
13.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
12.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
PTPN11 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
89.8
Number of samples
486
Samples
Sample
Description
TPM
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
180.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
158.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
155.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
154.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
152.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
152.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
152.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
150.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
146.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
143.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
140.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
137.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
136.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
133.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
132.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
130.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
129.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
129.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
129.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
126.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
126.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
124.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
123.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
123.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
123.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
123.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
123.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
122.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
122.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
122.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
120.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
120.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
120.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
120.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
119.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
119.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
119.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
119.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
119.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
119.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
118.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
118.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
118.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
118.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
118.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
118.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
117.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
116.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
116.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
116.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
116.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
115.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
115.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
115.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
115.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
114.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
114.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
113.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
113.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
112.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
112.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
112.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
112.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
112.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
111.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
111.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
111.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
111.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
111.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
111.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
111.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
110.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
110.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
110.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
110.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
110.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
109.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
109.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
109.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
109.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
109.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
109.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
108.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
108.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
107.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
107.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
107.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
107.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
107.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
107.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
107.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
106.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
106.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
106.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
106.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
105.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
105.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
105.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
105.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
105.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
105.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
105.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
104.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
104.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
104.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
104.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
104.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
104.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
104.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
104.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
104.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
104.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
104.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
104.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
104.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
103.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
103.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
103.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
103.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
103.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
102.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
102.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
102.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
102.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
102.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
102.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
102.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
102.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
102.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
102.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
102.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
102.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
102.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
101.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
101.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
101.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
101.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
101.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
101.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
101.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
100.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
100.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
100.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
100.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
100.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
100.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
99.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
99.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
99.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
99.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
99.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
99.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
98.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
98.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
98.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
98.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
98.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
98.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
98.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
98.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
98.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
97.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
97.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
97.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
97.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
97.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
97.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
97.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
97.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
97.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
97.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
97.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
96.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
96.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
96.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
96.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
96.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
95.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
95.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
95.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
95.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
95.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
95.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
94.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
94.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
94.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
94.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
94.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
93.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
93.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
93.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
93.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
93.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
93.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
92.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
92.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
92.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
92.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
92.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
92.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
92.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
92.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
91.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
91.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
91.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
91.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
91.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
91.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
91.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
90.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
90.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
90.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
90.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
90.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
89.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
89.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
89.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
89.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
89.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
89.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
89.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
88.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
88.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
88.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
88.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
88.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
87.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
87.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
87.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
87.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
87.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
87.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
87.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
87.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
87.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
86.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
86.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
86.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
86.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
86.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
86.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
86.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
86.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
86.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
86.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
86.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
85.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
85.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
85.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
85.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
85.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
85.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
85.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
85.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
85.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
85.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
85.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
85.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
85.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
84.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
84.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
84.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
84.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
84.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
84.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
84.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
84.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
84.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
84.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
84.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
84.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
84.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
84.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
84.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
84.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
84.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
84.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
84.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
83.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
83.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
83.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
83.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
83.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
83.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
83.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
83.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
82.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
82.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
82.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
82.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
82.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
82.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
82.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
82.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
82.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
82.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
82.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
82.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
82.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
82.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
82.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
82.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
81.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
81.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
81.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
81.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
81.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
81.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
81.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
81.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
81.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
80.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
80.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
80.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
80.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
80.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
80.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
80.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
80.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
80.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
80.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
80.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
80.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
80.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
80.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
80.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
80.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
79.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
79.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
79.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
79.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
79.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
79.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
79.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
79.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
78.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
78.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
78.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
78.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
78.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
78.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
78.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
78.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
78.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
78.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
78.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
78.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
77.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
77.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
77.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
77.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
77.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
77.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
77.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
77.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
77.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
77.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
77.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
77.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
76.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
76.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
76.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
76.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
76.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
76.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
76.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
75.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
75.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
75.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
75.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
75.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
75.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
75.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
75.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
75.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
75.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
75.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
74.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
74.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
74.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
74.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
74.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
74.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
74.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
74.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
74.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
73.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
73.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
73.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
73.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
73.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
73.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
73.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
72.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
72.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
72.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
72.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
72.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
72.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
72.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
72.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
71.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
71.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
71.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
71.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
70.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
70.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
70.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
70.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
70.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
70.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
70.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
70.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
70.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
70.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
69.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
69.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
69.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
69.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
69.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
69.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
68.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
68.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
68.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
68.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
68.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
68.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
68.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
68.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
68.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
67.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
67.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
67.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
67.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
67.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
66.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
66.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
66.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
66.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
65.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
65.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
65.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
65.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
65.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
65.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
64.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
64.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
64.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
64.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
64.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
64.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
64.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
63.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
63.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
62.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
62.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
61.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
61.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
61.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
60.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
60.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
60.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
59.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
59.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
58.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
58.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
58.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
57.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
57.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
57.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
55.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
55.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
54.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
54.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
53.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
53.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
53.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
52.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
52.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
50.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
50.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
49.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
48.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
48.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.4
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.
PTPN11 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
32.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
66.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
65.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
64.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
63.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
59.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
57.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
50.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
49.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
48.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
48.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
47.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
46.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
46.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
45.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
44.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
43.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
43.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
43.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
42.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
42.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
42.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
40.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
40.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
39.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
38.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
38.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
38.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
37.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
36.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
36.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
36.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
35.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
34.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
33.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
33.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
32.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
32.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
32.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
32.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
31.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
31.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
31.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
30.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
30.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
30.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
29.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
29.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
29.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
29.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
29.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
28.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
28.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
28.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
28.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
28.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
27.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
27.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
27.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
27.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
26.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
25.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
25.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
24.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
24.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
23.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
23.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
22.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
21.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
21.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
21.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
21.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
20.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
20.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
20.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
19.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
19.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
19.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
19.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
19.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
17.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
16.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
14.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
14.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
13.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
13.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
12.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
8.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PTPN11 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
87.0
Number of samples
207
Samples
Sample
Description
TPM
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
250.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
149.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
142.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
141.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
139.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
130.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
129.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
129.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
128.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
128.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
125.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
123.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
122.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
119.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
118.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
117.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
117.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
113.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
112.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
111.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
111.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
110.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
109.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
109.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
108.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
108.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
107.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
107.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
107.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
106.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
106.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
106.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
106.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
106.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
106.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
106.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
105.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
105.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
105.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
104.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
104.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
103.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
102.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
102.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
102.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
102.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
101.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
101.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
100.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
100.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
100.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
100.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
99.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
99.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
99.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
98.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
98.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
98.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
97.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
96.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
96.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
96.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
96.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
96.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
95.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
95.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
95.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
95.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
94.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
93.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
93.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
93.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
93.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
92.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
90.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
90.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
90.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
90.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
89.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
89.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
88.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
88.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
87.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
87.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
87.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
87.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
87.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
87.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
87.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
86.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
86.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
86.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
86.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
85.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
85.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
85.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
85.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
85.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
84.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
84.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
83.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
83.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
83.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
83.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
82.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
82.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
82.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
82.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
82.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
81.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
81.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
81.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
81.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
81.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
80.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
80.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
80.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
80.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
80.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
80.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
79.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
78.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
78.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
78.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
77.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
77.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
77.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
77.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
76.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
76.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
76.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
76.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
75.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
75.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
75.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
75.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
75.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
75.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
75.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
75.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
75.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
75.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
74.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
74.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
74.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
74.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
74.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
74.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
73.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
73.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
73.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
73.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
73.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
73.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
73.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
73.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
72.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
72.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
72.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
72.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
71.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
71.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
71.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
71.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
71.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
70.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
70.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
70.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
70.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
70.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
69.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
68.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
68.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
68.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
68.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
67.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
66.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
65.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
65.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
64.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
64.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
64.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
64.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
64.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
63.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
63.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
61.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
61.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
61.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
60.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
60.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
59.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
59.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
59.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
59.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
59.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
59.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
59.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
56.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
56.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
55.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
54.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
54.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
54.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
52.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
51.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
50.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
1.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.9
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
0.7
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
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
