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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.
SUPT6H 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
23.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
51.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
42.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
42.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
39.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
39.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
38.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
38.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
37.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
37.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
37.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
37.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
36.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
36.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
36.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
36.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
36.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
35.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
35.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
35.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
35.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
35.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
34.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
34.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
34.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
34.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
34.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
34.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
33.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
33.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
33.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
33.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
32.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
32.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
32.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
32.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
32.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
32.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
32.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
32.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
31.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
31.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
31.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
31.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
31.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
31.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
31.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
30.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
30.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
30.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
30.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
30.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
30.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
30.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
30.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
30.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
30.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
30.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
30.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
30.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
29.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
29.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
29.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
29.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
29.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
29.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
29.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
29.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
29.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
28.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
28.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
28.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
28.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
28.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
28.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
28.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
28.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
28.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
28.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
28.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
28.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
27.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
27.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
27.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
27.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
27.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
26.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
26.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
26.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
26.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
26.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
26.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
26.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
26.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
25.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
25.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
25.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
25.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
25.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
25.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
25.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
25.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
25.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
24.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
24.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
24.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
24.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
24.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
24.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
24.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
24.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
24.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
24.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
24.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
24.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
24.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
23.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
23.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
23.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
23.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
23.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
23.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
23.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
23.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
23.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
23.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
23.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
23.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
23.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
23.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
22.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
22.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
22.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
22.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
22.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
22.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
22.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
22.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
22.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
22.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
22.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
22.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
22.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
22.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
22.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
22.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
22.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
22.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
22.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
21.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
21.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
21.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
21.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
21.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
21.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
21.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
21.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
21.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
21.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
21.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
21.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
21.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
21.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
21.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
21.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
21.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
20.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
20.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
20.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
20.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
20.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
20.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
20.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
20.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
20.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
20.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
19.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
19.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
19.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
19.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
19.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
19.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
19.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
19.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
18.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
18.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
18.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
18.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
18.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
18.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
18.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
18.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
18.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
18.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
18.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
18.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
18.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
17.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
17.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
17.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
17.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
17.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
17.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
17.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
16.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
16.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
16.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
16.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
16.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
16.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
16.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
15.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
15.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
15.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
15.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
15.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
15.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
15.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
14.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
14.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
14.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
14.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
14.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
14.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
14.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
13.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
13.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
13.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
13.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
13.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
13.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
13.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
12.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
12.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
12.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
12.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
12.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
12.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
12.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
12.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
11.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
11.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
11.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
11.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
11.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
10.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
10.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
10.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
9.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
9.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
8.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
8.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
7.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 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.
SUPT6H 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
42.9
Number of samples
486
Samples
Sample
Description
TPM
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
103.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
101.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
81.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
80.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
80.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
76.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
74.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
72.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
71.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
67.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
67.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
67.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
65.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
64.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
63.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
63.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
62.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
62.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
62.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
62.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
61.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
61.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
61.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
60.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
60.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
59.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
58.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
58.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
58.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
58.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
58.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
57.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
57.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
56.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
56.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
56.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
56.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
55.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
55.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
55.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
55.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
54.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
54.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
54.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
54.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
54.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
54.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
54.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
54.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
54.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
54.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
53.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
53.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
53.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
53.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
53.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
53.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
53.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
53.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
53.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
53.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
53.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
53.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
53.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
53.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
52.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
52.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
52.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
52.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
52.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
52.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
52.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
52.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
52.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
52.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
51.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
51.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
51.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
51.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
51.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
51.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
51.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
51.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
50.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
50.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
50.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
50.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
50.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
50.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
50.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
50.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
50.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
50.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
50.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
50.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
50.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
49.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
49.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
49.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
49.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
49.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
49.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
49.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
49.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
49.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
49.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
49.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
49.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
49.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
49.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
49.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
48.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
48.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
48.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
48.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
48.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
48.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
48.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
48.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
48.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
48.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
48.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
48.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
48.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
47.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
47.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
47.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
47.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
47.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
47.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
47.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
47.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
47.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
47.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
47.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
47.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
47.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
47.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
47.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
47.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
47.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
47.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
47.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
46.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
46.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
46.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
46.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
46.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
46.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
46.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
46.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
46.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
46.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
46.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
46.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
46.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
46.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
46.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
46.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
46.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
46.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
46.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
46.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
46.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
45.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
45.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
45.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
45.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
45.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
45.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
45.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
45.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
45.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
45.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
45.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
45.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
45.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
45.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
45.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
45.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
45.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
45.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
45.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
45.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
44.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
44.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
44.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
44.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
44.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
44.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
44.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
44.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
44.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
44.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
44.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
44.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
44.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
44.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
44.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
44.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
44.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
43.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
43.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
43.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
43.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
43.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
43.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
43.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
43.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
43.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
43.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
43.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
43.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
43.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
43.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
43.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
43.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
43.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
43.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
43.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
42.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
42.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
42.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
42.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
42.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
42.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
42.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
42.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
42.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
42.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
42.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
42.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
42.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
42.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
42.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
42.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
42.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
42.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
42.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
42.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
42.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
42.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
41.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
41.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
41.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
41.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
41.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
41.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
41.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
41.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
41.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
41.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
41.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
41.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
41.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
41.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
41.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
41.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
41.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
41.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
41.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
41.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
40.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
40.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
40.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
40.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
40.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
40.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
40.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
40.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
40.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
40.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
40.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
40.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
40.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
40.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
40.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
40.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
40.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
40.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
40.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
40.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
40.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
40.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
40.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
40.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
40.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
40.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
40.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
40.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
40.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
40.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
40.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
40.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
39.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
39.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
39.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
39.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
39.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
39.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
39.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
39.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
39.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
39.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
39.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
39.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
39.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
39.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
39.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
39.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
39.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
39.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
39.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
39.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
39.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
39.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
39.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
39.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
39.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
39.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
38.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
38.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
38.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
38.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
38.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
38.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
38.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
38.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
38.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
38.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
38.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
38.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
38.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
38.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
38.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
38.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
38.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
38.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
38.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
38.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
38.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
38.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
37.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
37.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
37.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
37.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
37.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
37.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
37.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
37.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
37.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
37.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
37.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
37.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
37.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
36.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
36.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
36.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
36.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
36.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
36.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
36.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
36.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
36.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
36.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
36.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
36.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
36.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
36.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
36.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
35.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
35.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
35.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
35.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
35.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
35.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
35.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
35.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
35.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
35.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
35.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
35.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
35.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
35.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
35.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
35.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
35.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
35.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
35.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
35.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
35.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
35.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
35.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
35.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
34.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
34.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
34.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
34.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
34.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
34.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
34.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
34.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
34.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
34.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
34.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
34.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
34.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
34.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
34.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
34.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
33.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
33.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
33.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
33.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
33.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
33.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
33.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
33.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
33.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
33.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
33.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
33.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
33.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
32.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
32.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
32.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
32.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
32.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
31.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
31.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
31.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
31.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
31.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
31.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
31.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
30.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
30.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
30.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
30.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
30.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
30.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
30.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
30.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
30.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
30.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
29.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
29.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
29.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
29.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
29.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
29.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
29.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
29.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
29.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
28.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
28.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
28.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
28.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
28.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
28.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
28.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
27.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
27.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
27.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
27.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
27.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
26.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
26.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
26.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
26.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
26.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
26.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
25.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
25.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
23.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
23.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
22.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
21.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
18.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
16.2
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.
SUPT6H 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
22.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
49.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
46.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
37.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
35.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
34.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
34.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
33.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
33.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
32.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
31.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
31.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
31.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
31.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
31.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
31.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
30.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
30.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
30.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
29.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
27.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
27.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
27.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
26.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
26.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
26.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
26.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
26.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
26.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
26.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
26.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
25.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
25.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
25.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
24.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
24.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
24.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
24.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
23.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
23.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
23.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
23.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
22.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
22.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
22.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
22.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
22.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
22.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
22.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
21.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
21.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
21.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
20.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
20.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
20.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
20.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
19.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
19.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
19.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
19.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
18.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
18.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
17.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
17.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
17.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
17.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
17.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
17.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
17.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
16.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
16.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
16.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
16.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
16.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
15.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
14.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
13.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
13.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
12.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
12.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
10.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
10.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
9.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
8.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
8.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
8.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
7.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
7.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
SUPT6H 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
42.8
Number of samples
207
Samples
Sample
Description
TPM
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
135.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
94.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
86.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
80.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
71.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
71.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
69.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
67.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
66.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
64.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
62.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
62.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
61.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
59.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
59.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
58.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
57.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
56.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
56.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
56.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
56.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
55.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
54.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
53.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
53.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
52.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
52.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
52.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
52.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
51.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
51.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
51.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
50.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
49.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
49.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
49.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
49.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
48.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
48.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
48.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
48.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
48.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
48.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
48.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
47.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
47.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
47.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
47.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
47.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
47.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
47.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
47.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
47.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
46.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
46.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
46.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
46.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
46.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
45.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
45.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
45.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
45.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
45.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
45.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
45.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
45.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
45.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
44.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
44.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
44.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
44.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
44.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
44.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
43.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
43.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
43.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
43.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
43.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
43.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
43.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
43.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
43.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
43.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
43.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
42.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
42.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
42.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
42.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
42.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
42.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
42.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
42.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
42.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
42.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
42.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
41.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
41.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
41.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
41.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
41.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
41.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
41.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
41.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
41.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
41.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
41.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
40.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
40.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
40.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
40.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
40.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
40.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
40.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
40.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
40.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
40.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
40.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
39.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
39.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
39.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
39.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
39.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
39.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
38.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
38.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
38.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
38.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
38.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
38.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
38.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
38.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
38.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
38.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
38.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
38.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
38.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
38.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
38.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
37.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
37.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
37.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
37.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
37.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
37.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
37.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
37.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
37.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
37.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
37.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
36.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
36.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
36.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
36.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
35.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
35.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
35.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
35.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
35.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
35.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
35.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
35.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
35.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
35.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
35.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
34.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
34.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
34.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
34.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
34.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
34.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
34.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
34.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
34.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
33.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
33.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
33.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
33.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
33.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
33.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
33.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
33.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
32.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
32.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
32.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
32.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
32.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
31.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
31.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
31.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
30.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
30.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
30.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
30.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
29.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
29.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
26.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
26.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
26.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
26.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
26.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
26.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
25.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
22.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
22.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
17.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
16.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
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Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
