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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.
SUPT16H 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
34.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
94.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
81.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
77.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
73.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
72.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
70.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
70.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
69.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
67.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
67.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
64.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
63.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
62.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
62.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
61.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
60.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
59.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
59.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
58.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
58.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
58.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
58.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
58.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
56.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
54.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
54.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
54.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
54.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
54.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
54.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
53.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
53.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
53.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
52.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
52.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
52.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
52.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
52.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
51.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
51.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
51.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
51.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
50.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
50.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
50.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
50.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
49.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
49.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
48.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
47.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
47.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
47.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
47.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
47.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
46.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
46.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
46.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
45.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
45.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
44.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
44.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
44.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
44.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
43.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
43.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
43.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
43.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
43.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
43.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
42.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
42.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
42.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
41.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
41.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
41.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
41.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
40.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
39.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
39.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
39.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
39.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
39.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
39.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
39.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
39.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
39.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
38.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
38.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
38.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
38.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
38.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
38.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
38.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
37.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
37.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
37.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
37.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
37.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
37.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
36.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
36.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
36.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
36.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
36.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
36.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
36.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
35.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
35.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
35.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
35.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
35.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
35.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
35.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
35.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
35.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
35.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
35.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
34.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
34.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
34.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
33.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
33.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
33.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
33.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
33.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
33.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
33.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
32.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
32.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
32.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
32.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
31.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
31.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
31.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
31.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
31.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
30.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
30.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
30.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
30.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
30.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
30.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
29.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
29.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
29.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
29.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
29.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
29.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
29.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
29.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
29.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
29.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
28.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
28.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
28.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
28.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
28.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
28.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
27.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
27.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
27.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
27.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
27.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
27.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
26.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
26.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
26.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
26.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
26.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
26.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
26.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
26.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
26.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
25.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
25.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
25.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
25.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
25.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
25.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
25.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
25.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
24.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
24.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
24.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
24.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
24.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
24.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
24.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
23.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
23.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
23.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
23.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
23.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
23.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
22.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
22.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
22.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
22.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
21.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
21.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
21.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
21.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
21.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
21.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
20.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
20.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
20.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
20.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
20.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
20.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
19.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
19.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
19.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
19.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
19.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
19.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
19.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
19.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
19.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
18.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
18.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
17.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
17.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
17.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
17.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
17.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
17.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
17.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
17.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
17.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
17.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
17.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
16.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
15.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
15.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
15.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
15.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
15.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
14.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
14.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
14.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
13.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
13.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
13.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
13.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
12.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
12.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
12.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
12.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
11.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
11.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
11.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
8.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 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.
SUPT16H 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
61.6
Number of samples
486
Samples
Sample
Description
TPM
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
170.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
169.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
134.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
133.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
115.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
108.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
106.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
104.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
103.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
102.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
102.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
100.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
100.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
99.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
99.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
99.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
98.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
98.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
97.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
96.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
96.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
95.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
95.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
94.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
94.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
94.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
94.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
93.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
93.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
92.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
91.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
91.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
91.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
91.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
90.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
89.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
88.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
87.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
87.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
87.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
87.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
86.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
85.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
85.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
85.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
85.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
85.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
85.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
84.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
84.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
84.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
84.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
84.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
84.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
83.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
83.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
83.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
82.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
82.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
82.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
82.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
82.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
82.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
82.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
81.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
81.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
81.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
81.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
81.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
80.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
80.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
80.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
80.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
80.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
80.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
79.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
79.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
79.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
79.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
78.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
78.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
78.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
78.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
78.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
78.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
77.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
77.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
77.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
76.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
76.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
76.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
76.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
76.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
75.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
75.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
74.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
74.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
74.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
74.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
74.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
73.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
73.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
73.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
73.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
73.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
73.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
73.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
72.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
72.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
72.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
72.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
72.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
72.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
71.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
71.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
71.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
71.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
71.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
71.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
71.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
71.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
71.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
71.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
71.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
70.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
70.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
70.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
70.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
70.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
70.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
70.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
70.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
70.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
70.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
69.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
69.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
69.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
69.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
69.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
69.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
69.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
69.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
68.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
68.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
68.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
68.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
68.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
68.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
68.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
68.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
67.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
67.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
67.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
67.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
67.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
67.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
67.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
67.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
67.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
67.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
67.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
67.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
67.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
66.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
66.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
66.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
66.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
66.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
65.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
65.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
65.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
65.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
65.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
65.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
65.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
65.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
65.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
65.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
65.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
65.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
65.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
65.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
64.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
64.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
64.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
64.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
64.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
64.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
64.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
64.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
64.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
64.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
64.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
64.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
64.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
64.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
64.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
64.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
63.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
63.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
63.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
63.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
63.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
63.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
63.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
63.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
62.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
62.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
62.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
62.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
62.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
62.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
62.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
62.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
62.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
62.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
62.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
62.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
62.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
62.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
62.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
62.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
61.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
61.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
61.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
61.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
61.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
61.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
61.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
61.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
61.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
61.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
61.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
61.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
61.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
60.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
60.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
60.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
60.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
60.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
60.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
60.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
60.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
60.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
59.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
59.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
59.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
59.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
59.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
59.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
59.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
59.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
59.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
59.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
59.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
59.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
59.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
59.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
58.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
58.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
58.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
58.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
58.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
58.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
58.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
58.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
57.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
57.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
57.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
57.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
57.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
57.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
57.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
57.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
57.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
57.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
57.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
57.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
57.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
57.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
56.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
56.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
56.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
56.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
56.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
56.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
56.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
56.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
56.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
56.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
56.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
56.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
56.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
56.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
55.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
55.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
55.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
55.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
55.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
55.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
55.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
55.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
54.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
54.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
54.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
54.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
54.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
54.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
54.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
54.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
54.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
54.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
54.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
54.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
54.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
54.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
53.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
53.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
53.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
53.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
52.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
52.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
52.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
52.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
52.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
52.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
52.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
52.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
52.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
52.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
52.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
52.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
51.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
51.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
51.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
51.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
50.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
50.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
50.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
50.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
50.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
50.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
50.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
50.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
49.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
49.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
49.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
49.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
49.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
49.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
49.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
49.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
49.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
49.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
49.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
48.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
48.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
48.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
48.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
48.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
48.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
48.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
48.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
48.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
48.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
48.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
48.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
47.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
47.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
47.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
47.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
47.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
47.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
47.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
47.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
47.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
46.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
46.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
46.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
46.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
46.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
46.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
46.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
46.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
46.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
46.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
46.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
46.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
46.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
46.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
46.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
46.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
46.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
45.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
45.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
45.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
45.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
45.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
45.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
45.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
45.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
44.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
44.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
44.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
44.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
44.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
44.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
44.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
43.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
43.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
43.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
43.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
43.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
43.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
43.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
43.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
42.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
42.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
42.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
42.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
42.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
42.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
42.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
42.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
41.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
41.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
41.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
41.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
41.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
41.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
41.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
40.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
40.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
40.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
40.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
40.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
40.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
40.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
40.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
40.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
39.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
39.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
39.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
39.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
39.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
39.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
39.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
38.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
38.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
38.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
38.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
38.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
38.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
37.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
37.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
37.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
37.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
37.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
37.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
36.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
36.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
36.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
36.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
36.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
36.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
36.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
36.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
36.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
36.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
36.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
35.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
35.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
34.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
34.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
33.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
31.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
29.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
27.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
26.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
26.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
25.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.0
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.
SUPT16H 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
33.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
86.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
79.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
67.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
64.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
60.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
58.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
56.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
55.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
54.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
54.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
51.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
50.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
49.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
48.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
47.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
46.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
46.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
46.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
45.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
45.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
45.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
43.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
43.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
43.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
41.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
41.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
41.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
40.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
40.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
39.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
38.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
36.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
35.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
34.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
34.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
34.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
34.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
33.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
33.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
32.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
32.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
32.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
31.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
31.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
31.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
30.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
29.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
29.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
28.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
28.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
28.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
28.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
28.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
27.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
26.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
26.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
26.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
26.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
26.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
26.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
25.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
25.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
25.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
24.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
24.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
24.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
24.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
24.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
23.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
21.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
21.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
20.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
19.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
19.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
18.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
17.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
17.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
15.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
15.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
14.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
12.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
12.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
11.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
10.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
9.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
8.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.2
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.
SUPT16H 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
54.2
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
108.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
108.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
99.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
98.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
98.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
96.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
95.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
92.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
92.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
92.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
89.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
89.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
86.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
86.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
83.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
82.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
82.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
82.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
81.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
79.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
78.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
78.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
75.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
74.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
74.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
71.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
70.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
70.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
70.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
69.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
68.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
68.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
68.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
67.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
67.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
67.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
67.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
66.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
66.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
66.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
64.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
64.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
64.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
63.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
63.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
63.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
62.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
62.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
62.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
62.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
62.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
62.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
62.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
62.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
62.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
61.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
61.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
61.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
61.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
61.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
61.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
61.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
61.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
60.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
60.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
60.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
60.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
60.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
59.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
59.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
59.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
59.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
58.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
58.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
57.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
57.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
57.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
57.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
56.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
56.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
56.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
56.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
56.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
56.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
56.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
56.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
56.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
55.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
55.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
55.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
55.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
54.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
54.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
54.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
53.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
53.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
53.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
53.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
53.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
52.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
52.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
52.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
52.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
52.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
51.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
51.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
51.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
51.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
51.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
51.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
50.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
50.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
50.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
50.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
50.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
50.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
50.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
50.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
49.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
49.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
49.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
49.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
49.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
49.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
49.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
49.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
48.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
48.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
48.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
48.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
48.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
47.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
46.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
46.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
46.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
46.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
45.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
45.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
44.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
44.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
44.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
44.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
43.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
43.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
43.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
43.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
42.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
42.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
42.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
42.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
42.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
41.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
41.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
41.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
41.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
40.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
40.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
40.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
39.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
39.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
39.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
39.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
39.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
39.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
39.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
38.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
38.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
38.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
38.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
38.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
37.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
37.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
37.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
37.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
37.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
37.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
37.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
37.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
37.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
36.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
36.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
35.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
35.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
35.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
34.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
34.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
33.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
33.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
32.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
32.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
32.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
31.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
31.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
31.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
31.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
30.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
29.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
29.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
29.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
29.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
28.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
25.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
25.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
25.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
1.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.9
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
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Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
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Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
