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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.
PTPN12 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
32.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
106.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
89.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
88.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
81.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
68.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
66.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
65.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
64.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
62.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
61.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
60.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
53.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
52.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
50.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
49.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
49.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
48.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
48.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
47.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
47.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
46.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
46.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
46.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
46.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
46.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
45.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
45.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
45.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
45.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
44.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
44.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
43.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
43.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
43.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
43.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
43.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
42.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
42.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
42.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
42.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
42.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
42.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
42.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
42.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
41.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
41.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
41.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
40.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
40.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
40.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
40.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
39.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
39.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
38.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
38.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
38.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
38.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
38.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
38.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
38.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
38.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
37.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
37.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
37.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
37.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
37.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
37.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
36.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
36.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
36.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
36.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
36.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
36.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
36.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
36.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
36.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
36.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
36.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
36.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
35.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
35.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
35.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
35.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
34.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
34.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
34.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
34.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
34.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
34.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
34.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
33.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
33.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
33.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
33.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
33.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
33.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
32.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
32.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
32.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
32.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
32.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
32.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
32.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
32.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
32.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
32.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
31.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
31.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
31.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
31.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
31.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
31.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
31.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
31.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
31.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
31.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
30.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
30.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
30.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
30.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
30.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
30.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
30.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
30.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
30.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
30.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
30.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
30.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
30.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
30.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
29.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
29.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
29.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
29.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
29.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
29.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
29.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
29.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
29.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
29.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
29.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
28.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
28.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
28.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
28.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
28.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
28.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
28.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
28.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
28.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
28.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
28.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
28.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
27.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
27.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
27.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
27.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
27.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
27.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
26.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
26.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
26.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
26.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
26.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
26.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
26.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
26.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
26.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
26.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
25.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
25.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
25.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
25.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
25.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
25.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
25.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
25.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
25.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
25.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
25.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
25.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
24.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
24.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
24.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
24.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
24.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
24.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
24.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
24.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
24.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
24.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
23.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
23.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
23.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
23.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
23.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
23.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
23.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
22.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
22.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
22.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
22.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
22.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
22.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
22.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
21.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
21.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
21.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
21.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
21.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
21.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
21.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
21.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
21.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
20.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
20.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
20.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
20.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
19.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
19.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
19.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
19.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
19.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
19.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
19.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
19.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
19.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
19.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
19.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
18.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
18.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
18.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
18.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
18.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
18.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
18.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
18.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
18.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
17.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
17.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
17.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
16.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
16.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
15.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
15.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
15.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
15.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
15.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
14.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
14.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
13.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
13.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
13.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 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.
PTPN12 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
83.4
Number of samples
486
Samples
Sample
Description
TPM
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
233.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
209.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
200.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
194.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
180.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
176.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
171.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
168.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
160.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
158.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
151.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
149.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
149.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
144.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
142.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
142.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
142.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
142.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
141.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
140.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
139.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
136.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
135.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
134.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
133.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
132.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
131.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
130.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
129.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
128.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
127.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
127.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
126.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
123.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
122.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
121.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
120.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
119.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
118.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
117.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
117.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
117.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
116.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
116.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
115.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
114.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
114.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
114.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
113.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
113.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
113.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
110.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
110.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
110.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
109.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
109.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
109.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
108.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
108.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
108.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
107.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
107.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
107.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
107.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
107.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
106.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
106.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
106.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
106.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
106.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
106.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
105.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
105.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
104.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
104.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
104.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
104.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
104.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
103.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
103.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
103.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
103.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
103.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
103.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
102.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
102.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
102.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
102.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
101.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
101.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
101.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
101.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
101.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
101.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
101.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
101.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
100.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
100.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
99.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
99.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
99.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
99.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
99.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
99.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
99.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
98.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
98.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
98.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
98.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
97.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
97.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
97.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
97.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
97.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
97.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
96.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
96.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
96.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
96.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
96.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
96.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
95.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
95.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
95.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
95.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
95.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
95.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
94.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
94.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
94.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
93.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
93.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
93.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
93.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
93.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
92.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
92.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
92.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
92.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
92.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
92.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
92.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
92.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
92.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
91.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
91.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
91.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
91.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
90.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
90.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
90.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
90.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
90.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
90.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
90.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
89.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
88.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
88.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
88.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
88.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
88.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
88.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
87.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
87.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
87.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
87.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
87.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
87.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
87.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
87.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
86.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
86.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
86.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
86.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
86.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
86.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
86.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
86.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
86.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
86.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
86.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
85.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
85.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
85.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
85.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
85.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
84.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
84.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
84.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
84.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
84.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
84.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
84.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
84.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
84.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
84.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
84.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
84.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
84.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
84.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
84.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
83.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
83.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
83.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
83.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
83.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
83.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
83.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
83.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
83.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
83.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
83.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
82.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
82.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
82.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
82.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
81.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
81.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
81.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
81.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
81.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
80.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
80.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
80.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
80.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
80.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
80.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
79.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
79.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
79.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
79.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
79.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
79.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
79.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
78.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
78.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
78.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
78.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
78.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
78.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
78.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
77.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
77.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
77.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
77.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
77.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
77.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
77.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
77.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
77.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
77.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
76.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
76.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
76.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
76.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
76.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
76.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
76.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
75.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
75.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
75.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
75.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
75.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
75.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
75.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
74.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
74.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
74.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
74.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
74.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
74.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
73.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
73.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
73.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
73.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
73.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
73.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
73.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
73.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
73.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
73.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
73.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
73.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
72.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
72.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
72.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
72.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
72.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
72.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
72.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
72.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
72.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
72.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
72.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
72.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
72.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
72.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
72.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
72.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
71.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
71.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
71.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
71.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
71.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
71.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
71.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
71.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
71.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
71.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
71.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
70.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
70.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
70.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
70.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
70.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
70.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
70.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
70.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
70.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
70.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
70.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
69.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
69.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
69.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
69.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
69.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
69.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
69.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
69.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
69.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
69.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
69.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
69.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
69.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
69.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
69.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
69.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
68.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
68.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
68.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
68.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
68.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
68.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
68.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
68.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
68.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
67.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
67.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
67.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
67.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
67.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
67.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
67.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
67.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
67.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
67.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
67.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
66.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
66.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
66.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
66.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
66.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
66.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
66.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
66.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
66.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
66.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
66.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
66.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
65.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
65.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
65.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
65.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
65.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
65.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
65.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
65.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
65.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
65.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
65.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
65.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
65.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
65.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
65.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
65.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
65.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
64.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
64.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
64.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
64.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
64.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
64.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
64.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
64.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
63.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
63.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
63.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
63.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
62.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
62.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
62.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
62.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
62.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
62.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
62.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
61.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
61.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
61.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
61.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
61.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
61.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
61.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
61.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
61.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
61.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
61.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
60.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
60.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
60.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
60.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
60.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
60.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
60.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
59.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
59.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
59.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
59.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
59.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
59.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
59.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
59.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
59.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
59.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
59.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
59.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
59.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
58.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
58.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
58.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
57.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
57.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
57.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
57.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
57.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
57.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
57.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
56.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
56.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
56.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
56.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
56.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
56.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
56.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
55.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
55.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
55.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
54.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
54.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
53.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
53.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
53.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
52.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
52.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
52.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
52.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
52.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
51.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
50.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
50.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
50.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
49.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
49.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
49.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
49.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
48.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
47.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
46.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
46.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
45.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
44.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
43.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
42.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
36.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.7
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.
PTPN12 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
34.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
94.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
62.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
62.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
61.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
60.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
54.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
54.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
54.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
53.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
52.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
50.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
50.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
48.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
45.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
45.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
44.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
44.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
44.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
43.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
43.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
42.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
42.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
42.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
42.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
42.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
40.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
39.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
38.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
38.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
38.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
37.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
37.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
37.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
37.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
36.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
36.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
36.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
35.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
35.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
34.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
34.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
33.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
33.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
33.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
33.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
32.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
32.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
32.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
32.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
31.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
31.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
30.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
30.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
30.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
29.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
29.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
28.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
28.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
28.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
28.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
28.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
27.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
26.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
25.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
25.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
25.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
25.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
25.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
24.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
24.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
24.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
23.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
23.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
23.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
23.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
22.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
22.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
21.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
21.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
19.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
19.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
19.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
18.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
13.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
13.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
13.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
9.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PTPN12 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
78.9
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
208.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
166.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
164.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
139.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
137.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
133.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
130.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
130.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
126.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
121.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
119.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
117.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
117.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
114.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
114.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
112.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
111.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
106.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
105.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
105.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
104.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
103.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
100.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
99.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
99.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
99.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
98.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
97.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
97.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
97.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
96.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
96.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
95.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
95.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
94.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
94.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
94.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
93.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
93.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
93.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
91.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
91.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
91.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
90.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
90.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
89.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
89.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
88.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
88.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
88.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
88.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
88.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
87.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
86.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
86.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
86.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
86.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
86.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
86.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
85.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
85.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
85.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
85.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
85.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
85.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
85.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
84.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
84.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
83.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
83.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
83.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
82.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
82.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
82.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
82.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
82.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
81.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
81.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
81.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
81.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
80.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
80.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
80.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
80.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
80.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
80.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
79.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
79.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
79.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
78.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
78.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
78.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
78.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
78.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
77.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
77.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
77.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
77.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
77.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
76.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
76.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
76.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
76.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
75.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
75.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
75.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
75.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
75.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
75.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
74.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
74.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
74.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
74.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
73.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
72.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
72.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
72.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
72.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
71.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
71.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
71.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
71.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
71.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
71.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
71.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
71.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
70.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
70.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
70.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
69.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
69.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
69.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
69.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
69.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
68.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
68.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
68.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
68.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
67.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
67.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
66.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
66.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
66.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
66.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
66.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
66.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
66.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
65.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
65.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
65.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
65.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
64.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
64.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
64.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
64.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
64.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
63.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
63.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
63.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
63.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
62.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
62.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
62.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
62.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
62.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
62.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
61.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
61.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
61.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
61.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
61.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
61.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
60.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
60.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
60.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
59.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
59.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
58.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
58.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
58.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
57.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
57.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
57.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
57.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
57.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
56.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
56.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
55.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
55.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
55.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
55.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
54.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
54.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
53.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
53.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
52.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
51.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
51.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
50.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
50.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
49.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
49.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
48.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
47.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
45.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
43.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
17.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
1.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
1.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.9
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.8
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.8
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
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Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
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Normal
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
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Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
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Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
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Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.6
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.8
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.8
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
