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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.
JAK1 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
46.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
95.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
94.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
84.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
79.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
76.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
75.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
73.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
72.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
72.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
71.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
71.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
70.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
70.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
68.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
67.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
66.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
66.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
66.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
65.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
65.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
65.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
64.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
64.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
63.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
62.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
62.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
62.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
62.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
62.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
62.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
62.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
62.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
62.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
61.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
61.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
60.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
60.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
60.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
60.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
60.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
60.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
59.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
59.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
59.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
59.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
58.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
58.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
58.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
58.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
58.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
58.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
58.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
57.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
57.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
57.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
57.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
57.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
57.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
57.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
56.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
56.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
56.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
56.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
56.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
55.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
55.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
55.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
55.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
55.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
54.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
54.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
54.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
54.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
54.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
54.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
54.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
54.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
54.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
54.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
54.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
54.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
53.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
53.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
53.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
53.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
52.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
52.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
52.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
52.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
52.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
52.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
52.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
52.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
51.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
51.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
50.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
50.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
50.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
50.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
50.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
49.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
49.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
49.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
49.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
49.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
48.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
48.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
48.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
48.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
48.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
48.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
47.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
47.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
47.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
47.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
47.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
47.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
46.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
46.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
46.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
46.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
46.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
46.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
45.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
45.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
45.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
45.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
45.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
45.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
45.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
45.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
45.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
44.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
44.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
44.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
44.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
44.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
44.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
44.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
44.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
43.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
43.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
43.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
43.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
43.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
43.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
43.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
42.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
42.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
42.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
42.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
42.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
42.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
42.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
42.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
42.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
42.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
41.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
41.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
41.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
41.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
41.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
41.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
41.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
41.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
40.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
40.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
40.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
40.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
40.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
39.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
39.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
39.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
39.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
39.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
39.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
39.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
39.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
38.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
38.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
38.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
38.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
38.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
38.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
38.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
38.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
38.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
37.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
37.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
37.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
37.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
36.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
36.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
36.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
36.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
36.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
35.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
35.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
35.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
35.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
34.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
34.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
34.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
34.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
34.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
34.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
34.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
34.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
33.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
33.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
33.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
33.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
32.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
32.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
32.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
32.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
32.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
32.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
31.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
31.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
31.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
31.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
31.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
30.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
29.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
29.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
29.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
29.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
29.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
29.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
28.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
28.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
28.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
28.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
27.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
26.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
26.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
26.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
26.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
25.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
25.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
25.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
24.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
23.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
23.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
23.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
23.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
23.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
22.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
22.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
20.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
20.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
14.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 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.
JAK1 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
74.1
Number of samples
486
Samples
Sample
Description
TPM
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
143.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
133.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
125.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
123.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
123.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
119.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
115.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
113.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
113.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
112.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
112.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
111.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
111.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
110.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
109.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
109.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
108.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
108.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
108.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
107.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
106.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
106.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
105.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
105.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
105.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
105.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
105.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
104.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
104.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
103.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
102.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
102.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
101.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
101.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
101.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
101.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
100.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
100.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
100.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
99.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
99.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
99.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
99.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
99.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
98.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
98.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
98.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
98.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
98.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
98.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
97.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
97.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
97.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
97.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
96.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
96.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
95.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
95.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
95.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
95.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
95.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
95.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
94.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
94.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
94.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
94.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
94.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
93.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
93.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
93.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
93.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
93.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
92.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
92.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
92.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
92.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
92.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
92.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
92.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
92.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
92.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
92.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
92.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
91.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
91.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
91.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
91.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
91.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
91.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
90.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
90.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
90.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
90.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
89.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
89.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
89.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
89.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
88.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
88.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
88.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
88.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
88.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
87.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
87.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
87.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
87.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
87.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
86.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
86.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
86.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
86.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
86.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
86.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
86.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
86.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
86.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
86.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
86.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
86.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
86.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
85.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
85.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
85.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
85.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
85.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
85.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
85.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
84.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
84.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
84.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
84.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
84.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
84.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
84.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
84.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
84.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
84.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
84.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
83.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
83.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
83.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
83.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
83.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
83.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
82.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
82.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
82.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
82.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
82.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
82.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
82.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
81.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
81.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
81.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
81.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
81.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
81.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
81.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
81.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
81.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
81.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
81.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
80.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
80.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
80.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
80.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
80.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
79.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
79.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
79.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
79.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
79.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
79.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
79.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
78.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
78.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
78.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
78.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
78.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
78.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
78.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
78.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
78.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
78.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
78.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
78.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
78.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
78.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
77.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
77.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
77.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
77.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
77.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
77.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
77.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
77.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
76.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
76.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
76.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
76.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
76.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
76.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
76.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
76.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
76.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
76.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
75.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
75.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
75.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
75.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
75.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
75.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
75.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
74.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
74.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
74.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
74.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
74.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
74.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
74.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
74.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
74.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
74.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
74.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
74.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
74.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
74.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
74.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
74.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
74.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
73.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
73.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
73.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
73.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
73.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
73.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
73.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
73.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
73.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
72.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
72.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
72.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
72.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
72.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
72.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
72.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
71.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
71.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
71.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
71.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
71.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
71.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
71.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
71.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
71.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
71.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
71.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
71.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
70.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
70.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
70.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
70.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
70.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
70.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
70.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
70.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
70.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
70.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
70.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
70.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
70.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
69.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
69.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
69.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
69.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
69.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
69.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
69.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
69.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
69.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
69.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
69.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
69.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
69.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
69.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
68.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
68.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
68.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
68.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
68.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
68.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
68.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
68.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
68.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
67.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
67.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
67.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
67.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
67.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
67.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
67.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
67.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
67.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
67.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
67.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
67.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
67.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
67.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
66.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
66.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
66.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
66.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
66.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
66.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
66.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
66.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
66.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
66.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
66.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
66.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
66.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
66.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
66.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
66.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
66.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
66.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
66.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
65.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
65.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
65.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
65.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
65.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
65.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
65.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
64.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
64.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
64.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
64.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
64.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
64.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
64.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
64.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
64.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
64.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
64.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
64.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
64.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
64.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
64.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
64.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
63.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
63.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
63.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
63.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
63.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
63.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
63.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
62.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
62.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
62.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
62.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
62.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
62.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
62.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
62.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
62.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
62.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
62.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
62.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
61.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
61.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
61.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
61.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
61.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
61.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
61.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
61.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
61.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
60.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
60.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
60.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
60.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
60.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
60.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
60.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
60.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
60.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
60.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
60.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
60.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
60.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
59.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
59.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
59.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
59.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
59.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
59.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
59.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
59.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
58.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
58.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
58.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
58.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
57.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
57.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
57.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
57.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
57.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
57.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
57.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
57.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
57.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
57.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
57.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
56.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
56.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
56.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
56.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
55.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
55.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
55.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
55.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
55.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
55.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
55.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
54.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
54.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
54.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
54.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
54.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
54.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
54.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
54.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
53.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
53.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
53.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
53.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
53.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
53.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
52.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
52.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
52.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
52.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
52.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
52.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
51.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
51.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
51.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
51.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
50.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
50.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
50.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
50.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
50.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
50.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
49.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
49.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
48.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
48.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
47.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
47.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
47.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
46.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
46.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
46.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
46.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
46.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
46.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
45.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
45.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
45.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
44.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
44.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
43.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
43.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
43.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
42.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
41.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
36.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
36.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
34.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
30.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
29.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
26.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
JAK1 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
45.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
97.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
77.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
77.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
76.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
68.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
68.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
68.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
66.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
66.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
65.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
63.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
61.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
60.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
59.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
59.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
58.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
56.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
56.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
56.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
55.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
53.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
53.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
52.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
52.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
52.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
51.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
51.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
51.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
51.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
51.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
50.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
49.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
49.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
49.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
48.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
48.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
48.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
47.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
47.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
47.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
47.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
46.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
46.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
46.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
45.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
43.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
42.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
41.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
41.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
41.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
40.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
40.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
40.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
39.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
39.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
39.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
37.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
37.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
37.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
36.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
36.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
36.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
36.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
35.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
35.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
35.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
34.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
34.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
34.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
34.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
34.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
33.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
33.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
31.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
31.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
31.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
27.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
27.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
26.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
26.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
26.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
25.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
24.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
22.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
22.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
15.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
8.5
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.
JAK1 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
71.4
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
118.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
115.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
113.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
111.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
108.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
105.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
105.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
102.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
101.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
98.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
97.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
97.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
97.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
96.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
96.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
96.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
94.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
94.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
94.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
93.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
93.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
92.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
92.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
92.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
91.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
90.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
90.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
89.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
89.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
89.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
88.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
88.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
88.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
87.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
87.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
87.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
86.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
85.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
85.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
85.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
85.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
84.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
84.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
84.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
84.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
84.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
84.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
84.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
83.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
82.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
82.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
82.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
82.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
81.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
81.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
81.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
81.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
80.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
80.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
80.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
79.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
79.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
79.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
79.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
78.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
78.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
78.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
77.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
76.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
76.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
76.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
76.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
75.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
75.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
75.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
75.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
75.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
75.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
75.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
75.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
75.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
75.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
74.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
74.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
74.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
74.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
74.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
74.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
73.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
73.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
73.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
73.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
73.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
73.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
72.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
72.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
72.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
72.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
72.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
71.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
71.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
71.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
71.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
71.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
70.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
70.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
69.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
69.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
69.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
69.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
69.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
69.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
69.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
69.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
68.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
68.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
67.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
67.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
67.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
67.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
67.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
66.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
66.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
66.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
66.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
66.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
66.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
66.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
66.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
65.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
65.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
65.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
65.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
65.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
65.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
65.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
65.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
64.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
64.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
64.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
64.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
63.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
63.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
63.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
63.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
62.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
62.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
62.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
62.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
62.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
62.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
61.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
61.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
61.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
61.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
60.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
60.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
60.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
60.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
59.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
59.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
59.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
59.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
59.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
58.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
58.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
58.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
57.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
57.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
57.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
56.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
56.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
55.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
55.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
55.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
55.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
55.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
55.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
54.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
54.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
53.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
52.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
52.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
52.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
51.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
51.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
50.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
50.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
50.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
49.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
49.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
48.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
48.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
48.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
47.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
47.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
46.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
46.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
45.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
43.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
42.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
42.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
41.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
39.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
35.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
22.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.7
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.6
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
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
