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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.
HBS1L 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
28.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
70.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
67.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
66.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
65.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
62.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
62.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
56.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
52.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
51.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
50.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
48.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
48.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
48.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
46.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
46.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
43.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
43.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
42.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
42.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
41.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
41.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
40.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
40.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
40.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
40.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
40.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
39.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
39.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
39.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
39.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
39.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
39.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
38.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
38.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
38.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
38.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
38.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
37.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
37.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
37.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
36.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
36.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
36.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
36.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
35.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
35.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
35.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
35.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
35.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
34.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
34.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
34.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
34.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
34.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
34.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
34.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
34.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
34.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
34.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
33.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
33.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
33.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
33.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
32.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
32.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
32.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
32.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
32.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
32.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
32.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
32.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
32.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
32.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
32.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
32.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
32.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
32.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
32.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
32.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
32.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
31.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
31.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
31.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
31.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
31.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
30.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
30.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
30.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
30.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
30.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
30.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
30.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
30.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
30.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
30.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
30.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
30.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
30.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
30.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
30.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
30.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
29.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
29.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
29.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
29.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
29.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
29.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
28.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
28.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
28.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
28.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
28.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
28.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
28.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
28.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
28.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
28.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
27.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
27.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
27.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
27.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
27.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
27.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
27.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
27.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
27.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
26.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
26.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
26.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
26.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
26.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
26.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
26.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
26.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
26.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
26.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
26.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
26.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
25.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
25.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
25.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
25.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
25.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
25.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
25.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
25.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
25.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
25.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
25.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
25.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
24.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
24.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
24.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
24.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
24.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
24.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
24.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
24.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
24.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
24.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
24.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
24.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
24.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
23.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
23.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
23.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
23.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
23.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
23.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
23.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
23.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
23.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
23.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
22.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
22.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
22.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
22.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
22.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
22.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
22.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
22.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
22.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
21.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
21.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
21.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
21.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
21.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
21.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
20.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
20.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
20.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
20.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
20.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
20.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
20.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
20.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
20.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
20.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
20.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
19.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
19.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
19.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
19.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
19.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
19.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
19.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
19.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
19.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
19.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
19.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
19.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
19.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
19.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
19.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
19.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
18.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
18.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
18.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
18.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
18.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
18.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
18.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
18.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
18.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
18.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
18.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
18.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
18.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
17.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
17.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
17.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
17.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
17.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
17.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
17.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
16.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
16.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
15.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
15.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
15.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
15.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
15.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
14.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
14.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
14.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
14.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
14.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
14.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
12.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
12.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
11.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
11.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
11.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 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.
HBS1L 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
53.5
Number of samples
486
Samples
Sample
Description
TPM
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
114.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
111.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
100.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
97.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
89.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
86.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
84.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
83.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
82.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
82.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
82.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
82.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
80.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
79.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
79.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
79.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
79.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
78.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
78.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
77.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
77.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
77.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
77.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
76.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
76.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
76.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
76.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
75.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
75.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
74.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
74.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
74.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
74.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
73.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
73.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
73.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
73.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
73.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
73.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
72.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
72.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
71.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
71.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
71.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
71.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
71.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
70.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
70.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
70.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
69.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
69.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
69.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
69.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
68.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
68.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
68.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
68.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
68.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
68.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
68.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
68.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
68.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
68.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
68.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
67.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
67.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
67.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
67.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
67.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
67.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
66.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
66.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
66.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
66.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
66.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
66.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
66.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
66.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
66.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
66.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
66.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
65.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
65.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
65.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
65.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
65.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
65.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
64.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
64.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
64.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
64.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
64.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
64.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
64.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
63.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
63.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
63.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
63.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
63.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
63.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
63.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
63.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
63.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
62.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
62.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
62.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
62.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
62.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
62.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
62.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
62.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
62.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
61.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
61.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
61.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
61.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
61.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
61.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
61.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
61.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
61.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
61.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
61.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
61.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
61.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
60.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
60.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
60.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
60.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
60.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
60.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
60.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
60.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
60.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
60.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
59.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
59.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
59.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
59.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
59.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
59.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
59.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
59.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
59.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
59.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
59.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
59.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
58.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
58.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
58.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
58.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
58.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
58.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
58.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
58.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
58.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
58.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
57.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
57.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
57.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
57.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
57.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
57.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
57.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
57.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
57.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
57.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
57.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
57.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
57.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
56.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
56.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
56.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
56.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
56.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
56.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
56.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
56.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
56.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
56.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
56.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
55.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
55.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
55.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
55.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
55.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
55.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
55.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
55.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
55.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
55.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
55.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
55.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
55.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
55.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
54.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
54.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
54.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
54.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
54.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
54.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
54.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
54.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
54.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
54.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
54.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
54.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
54.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
54.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
54.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
54.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
54.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
54.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
54.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
54.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
53.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
53.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
53.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
53.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
53.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
53.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
53.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
53.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
53.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
53.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
53.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
53.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
52.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
52.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
52.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
52.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
52.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
52.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
52.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
52.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
52.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
52.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
52.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
52.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
52.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
52.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
52.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
52.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
52.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
51.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
51.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
51.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
51.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
51.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
51.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
51.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
51.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
51.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
51.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
51.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
51.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
51.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
51.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
51.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
50.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
50.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
50.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
50.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
50.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
50.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
50.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
50.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
50.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
50.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
50.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
50.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
50.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
50.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
50.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
50.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
50.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
50.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
50.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
50.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
50.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
50.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
49.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
49.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
49.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
49.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
49.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
49.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
49.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
49.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
49.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
49.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
48.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
48.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
48.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
48.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
48.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
48.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
48.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
48.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
48.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
48.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
48.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
48.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
48.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
48.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
48.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
48.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
48.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
47.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
47.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
47.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
47.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
47.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
47.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
47.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
47.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
47.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
47.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
47.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
47.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
47.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
47.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
47.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
46.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
46.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
46.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
46.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
46.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
46.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
46.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
46.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
46.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
46.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
46.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
46.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
46.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
46.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
46.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
46.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
46.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
45.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
45.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
45.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
45.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
45.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
45.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
45.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
45.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
45.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
45.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
45.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
45.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
45.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
45.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
45.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
45.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
45.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
45.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
45.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
44.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
44.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
44.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
44.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
44.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
44.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
44.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
44.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
44.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
44.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
44.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
44.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
44.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
44.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
44.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
44.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
44.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
43.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
43.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
43.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
43.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
43.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
43.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
43.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
43.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
43.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
43.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
43.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
43.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
43.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
42.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
42.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
42.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
42.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
42.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
42.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
42.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
42.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
42.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
42.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
42.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
41.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
41.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
41.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
41.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
41.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
41.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
41.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
41.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
41.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
41.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
41.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
41.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
41.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
40.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
40.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
40.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
40.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
40.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
40.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
40.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
40.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
40.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
39.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
39.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
39.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
39.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
39.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
39.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
39.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
38.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
38.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
38.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
38.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
38.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
38.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
38.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
38.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
38.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
38.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
38.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
38.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
38.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
38.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
37.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
37.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
37.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
37.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
37.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
37.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
37.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
37.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
36.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
36.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
36.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
36.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
36.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
36.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
36.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
36.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
35.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
35.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
35.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
35.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
35.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
34.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
34.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
34.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
33.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
32.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
32.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
31.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
31.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
30.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
30.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
29.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
28.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
27.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
26.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
26.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
25.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.2
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.
HBS1L 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
29.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
54.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
53.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
51.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
50.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
46.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
46.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
45.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
44.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
44.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
44.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
43.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
43.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
41.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
41.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
41.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
40.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
39.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
39.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
38.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
38.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
37.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
37.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
36.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
36.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
36.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
35.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
34.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
34.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
32.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
32.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
32.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
31.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
31.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
31.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
31.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
30.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
30.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
30.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
29.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
29.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
29.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
29.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
28.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
28.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
28.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
28.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
27.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
27.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
27.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
26.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
26.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
26.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
26.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
26.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
25.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
25.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
25.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
24.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
24.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
24.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
23.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
23.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
23.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
22.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
22.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
22.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
21.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
21.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
21.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
21.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
20.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
20.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
20.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
20.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
19.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
19.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
19.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
18.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
17.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
17.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
15.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
15.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
14.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
11.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
11.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
10.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
5.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
HBS1L 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
52.2
Number of samples
207
Samples
Sample
Description
TPM
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
138.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
99.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
97.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
92.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
89.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
87.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
84.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
82.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
79.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
78.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
77.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
76.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
75.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
74.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
72.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
71.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
70.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
69.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
68.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
68.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
67.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
67.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
67.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
67.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
66.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
66.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
65.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
64.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
64.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
64.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
64.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
63.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
63.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
63.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
62.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
62.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
61.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
61.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
61.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
61.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
61.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
61.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
60.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
60.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
60.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
60.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
60.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
59.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
59.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
59.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
59.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
59.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
58.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
58.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
58.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
58.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
57.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
57.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
57.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
57.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
57.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
57.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
57.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
57.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
56.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
56.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
56.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
55.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
55.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
55.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
55.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
55.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
55.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
55.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
55.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
55.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
55.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
54.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
54.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
53.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
53.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
53.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
53.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
53.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
53.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
53.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
53.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
53.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
52.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
52.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
52.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
52.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
52.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
51.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
51.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
51.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
51.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
51.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
51.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
51.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
51.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
51.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
50.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
50.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
50.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
50.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
50.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
50.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
49.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
49.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
49.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
49.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
49.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
49.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
49.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
49.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
49.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
49.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
49.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
49.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
48.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
48.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
48.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
48.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
48.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
48.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
48.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
47.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
47.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
47.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
47.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
47.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
46.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
46.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
46.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
46.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
46.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
46.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
46.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
45.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
45.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
45.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
45.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
45.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
45.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
44.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
44.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
44.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
44.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
44.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
44.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
44.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
43.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
43.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
43.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
43.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
43.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
42.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
42.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
42.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
42.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
41.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
41.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
41.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
41.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
41.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
41.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
40.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
40.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
40.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
40.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
40.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
40.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
40.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
40.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
39.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
39.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
39.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
39.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
38.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
38.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
38.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
38.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
37.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
36.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
36.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
36.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
36.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
36.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
36.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
36.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
35.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
34.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
34.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
33.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
33.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
32.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
31.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
31.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
30.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
29.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
28.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
28.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
27.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
26.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
26.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
19.2
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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
0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
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Tumor
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
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Normal
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
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Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
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Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
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Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
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Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
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Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
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Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
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Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
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Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
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Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
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Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
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Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
