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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.
STAT3 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
49.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
128.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
122.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
106.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
103.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
96.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
96.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
94.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
88.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
88.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
88.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
85.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
82.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
81.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
80.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
79.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
79.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
79.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
78.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
78.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
77.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
77.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
77.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
76.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
76.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
76.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
74.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
73.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
73.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
72.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
72.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
71.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
70.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
70.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
69.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
69.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
69.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
68.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
68.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
68.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
67.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
67.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
67.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
67.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
67.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
67.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
66.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
66.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
66.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
65.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
65.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
65.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
64.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
64.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
64.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
64.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
64.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
63.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
63.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
62.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
62.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
61.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
61.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
61.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
60.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
60.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
60.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
60.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
60.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
59.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
59.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
59.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
59.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
59.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
58.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
58.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
58.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
58.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
57.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
57.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
57.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
57.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
57.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
57.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
57.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
57.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
57.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
56.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
56.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
56.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
55.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
55.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
54.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
54.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
54.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
53.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
53.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
53.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
52.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
52.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
52.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
51.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
51.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
51.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
51.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
51.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
50.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
50.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
50.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
50.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
50.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
49.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
49.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
49.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
49.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
48.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
48.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
48.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
47.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
47.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
47.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
47.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
47.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
47.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
46.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
46.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
46.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
46.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
46.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
46.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
45.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
45.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
45.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
45.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
45.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
45.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
45.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
45.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
45.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
44.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
44.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
44.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
44.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
44.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
44.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
44.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
43.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
43.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
43.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
43.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
43.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
43.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
42.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
42.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
42.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
42.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
41.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
41.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
41.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
41.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
41.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
40.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
40.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
40.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
40.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
40.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
40.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
40.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
40.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
40.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
40.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
39.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
39.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
39.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
39.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
38.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
38.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
38.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
38.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
38.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
38.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
37.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
37.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
37.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
37.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
37.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
37.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
37.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
36.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
36.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
36.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
36.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
35.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
35.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
35.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
35.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
35.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
35.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
34.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
33.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
33.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
33.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
32.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
32.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
32.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
31.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
31.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
31.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
31.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
31.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
30.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
30.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
30.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
30.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
29.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
29.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
29.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
29.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
29.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
28.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
28.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
28.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
28.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
28.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
28.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
27.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
27.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
26.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
26.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
26.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
26.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
25.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
25.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
25.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
25.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
25.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
25.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
24.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
24.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
24.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
24.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
23.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
23.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
22.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
22.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
21.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
20.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
20.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
20.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
20.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
19.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
19.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
17.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 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.
STAT3 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
117.6
Number of samples
486
Samples
Sample
Description
TPM
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
240.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
210.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
199.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
199.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
194.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
192.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
191.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
191.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
188.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
188.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
187.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
186.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
185.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
183.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
183.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
182.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
182.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
181.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
180.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
177.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
176.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
175.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
174.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
171.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
171.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
171.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
170.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
169.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
168.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
168.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
166.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
166.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
166.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
165.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
165.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
165.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
161.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
161.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
161.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
160.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
160.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
160.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
159.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
159.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
159.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
158.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
158.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
157.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
157.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
155.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
155.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
155.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
155.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
153.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
153.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
153.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
153.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
153.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
153.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
151.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
150.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
150.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
150.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
150.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
150.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
150.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
150.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
149.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
149.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
149.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
149.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
148.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
148.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
148.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
148.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
147.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
147.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
147.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
147.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
146.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
146.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
146.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
146.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
145.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
145.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
145.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
145.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
145.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
144.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
144.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
144.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
144.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
143.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
143.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
142.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
142.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
142.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
141.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
141.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
141.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
141.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
140.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
140.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
140.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
140.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
139.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
138.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
138.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
138.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
138.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
138.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
137.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
137.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
137.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
137.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
137.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
137.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
136.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
136.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
136.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
136.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
136.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
135.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
135.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
134.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
134.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
134.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
133.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
133.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
132.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
132.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
132.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
132.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
132.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
131.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
131.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
131.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
131.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
131.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
130.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
130.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
130.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
129.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
129.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
129.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
128.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
128.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
128.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
128.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
128.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
128.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
128.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
127.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
127.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
127.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
127.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
127.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
127.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
127.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
126.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
126.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
126.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
126.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
126.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
126.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
126.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
125.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
125.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
125.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
125.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
125.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
124.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
124.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
124.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
124.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
124.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
124.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
124.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
124.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
124.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
124.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
123.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
123.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
123.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
123.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
122.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
122.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
122.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
122.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
122.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
121.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
121.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
121.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
121.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
121.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
121.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
121.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
121.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
121.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
121.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
121.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
121.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
120.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
120.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
120.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
120.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
120.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
120.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
119.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
119.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
119.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
119.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
119.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
119.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
119.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
119.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
118.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
118.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
118.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
118.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
118.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
118.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
118.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
117.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
117.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
117.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
117.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
117.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
117.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
117.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
116.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
116.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
116.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
116.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
116.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
116.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
116.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
116.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
116.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
116.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
116.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
115.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
115.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
115.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
115.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
115.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
115.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
115.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
114.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
114.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
114.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
114.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
114.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
114.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
114.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
114.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
113.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
113.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
113.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
113.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
113.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
112.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
112.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
112.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
112.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
112.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
111.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
111.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
111.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
111.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
111.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
110.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
110.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
110.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
110.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
110.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
110.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
110.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
110.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
110.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
110.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
110.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
109.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
109.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
109.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
109.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
109.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
109.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
108.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
108.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
108.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
108.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
108.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
108.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
108.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
107.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
107.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
107.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
107.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
107.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
107.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
107.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
106.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
106.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
106.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
105.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
105.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
105.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
105.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
105.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
105.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
105.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
105.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
104.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
104.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
104.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
104.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
104.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
104.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
104.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
104.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
104.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
104.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
104.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
103.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
103.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
103.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
103.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
103.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
103.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
103.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
103.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
103.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
103.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
103.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
103.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
103.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
103.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
103.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
103.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
102.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
102.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
102.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
102.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
102.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
102.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
101.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
101.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
101.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
101.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
101.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
101.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
100.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
100.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
100.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
100.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
100.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
100.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
100.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
100.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
100.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
100.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
99.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
99.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
99.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
99.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
99.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
98.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
98.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
98.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
98.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
98.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
97.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
97.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
97.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
97.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
97.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
97.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
97.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
97.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
96.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
96.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
96.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
96.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
96.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
95.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
95.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
95.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
94.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
93.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
93.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
93.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
93.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
93.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
92.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
92.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
92.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
92.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
92.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
92.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
91.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
91.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
91.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
91.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
91.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
91.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
90.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
90.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
90.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
90.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
90.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
90.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
89.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
89.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
89.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
89.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
89.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
89.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
89.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
88.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
87.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
87.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
86.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
86.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
86.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
86.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
86.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
86.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
85.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
85.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
85.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
84.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
84.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
84.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
84.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
84.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
83.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
82.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
81.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
81.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
81.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
81.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
80.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
80.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
80.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
78.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
78.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
77.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
76.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
75.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
74.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
74.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
74.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
74.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
74.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
74.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
74.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
74.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
73.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
73.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
73.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
73.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
72.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
71.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
71.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
70.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
69.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
68.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
68.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
68.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
67.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
65.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
65.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
65.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
63.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
62.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
61.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
57.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
57.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
55.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
54.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
52.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
51.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
43.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
STAT3 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
45.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
172.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
103.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
97.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
87.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
83.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
76.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
76.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
66.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
65.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
64.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
63.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
63.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
63.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
63.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
62.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
58.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
57.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
57.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
56.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
55.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
54.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
53.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
53.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
52.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
52.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
51.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
48.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
48.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
48.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
48.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
47.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
47.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
47.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
47.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
46.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
46.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
45.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
45.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
44.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
44.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
44.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
44.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
44.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
44.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
43.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
43.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
42.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
42.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
41.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
41.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
41.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
40.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
40.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
39.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
39.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
39.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
39.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
38.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
38.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
38.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
36.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
36.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
35.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
35.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
35.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
35.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
34.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
34.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
33.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
32.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
32.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
29.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
29.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
29.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
28.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
28.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
27.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
27.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
23.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
23.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
22.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
21.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
20.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
19.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
13.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
10.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
8.1
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.
STAT3 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
109.4
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
225.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
218.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
207.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
203.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
198.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
189.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
185.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
173.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
173.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
164.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
164.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
163.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
161.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
160.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
154.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
152.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
150.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
150.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
148.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
148.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
145.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
145.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
144.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
144.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
143.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
141.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
141.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
140.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
140.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
139.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
138.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
137.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
137.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
136.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
136.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
135.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
135.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
134.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
134.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
134.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
133.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
132.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
132.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
131.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
129.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
129.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
129.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
128.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
128.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
128.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
127.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
126.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
125.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
125.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
125.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
124.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
123.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
123.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
123.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
123.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
122.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
122.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
122.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
122.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
121.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
120.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
120.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
119.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
119.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
118.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
118.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
118.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
118.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
118.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
117.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
117.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
117.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
116.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
116.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
115.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
115.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
115.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
115.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
115.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
113.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
113.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
113.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
112.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
111.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
110.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
110.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
110.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
108.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
107.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
107.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
107.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
107.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
107.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
107.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
106.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
106.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
106.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
105.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
104.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
104.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
104.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
103.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
103.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
103.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
102.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
102.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
102.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
101.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
101.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
101.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
100.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
100.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
100.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
100.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
100.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
99.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
99.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
98.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
98.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
98.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
98.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
97.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
97.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
97.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
97.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
97.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
97.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
96.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
96.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
96.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
96.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
95.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
95.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
95.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
94.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
94.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
94.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
94.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
94.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
94.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
93.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
93.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
92.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
92.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
91.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
91.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
90.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
90.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
90.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
89.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
89.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
88.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
88.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
87.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
87.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
87.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
86.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
86.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
86.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
86.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
86.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
85.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
84.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
84.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
83.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
82.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
82.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
80.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
80.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
80.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
79.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
79.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
79.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
78.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
78.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
77.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
76.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
76.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
76.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
75.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
75.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
74.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
73.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
73.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
73.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
73.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
72.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
72.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
71.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
70.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
68.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
67.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
66.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
66.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
65.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
61.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
54.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
50.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
47.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
45.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
34.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
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Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
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Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
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Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.4
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
