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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.
SCYL2 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
14.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
80.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
43.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
42.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
37.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
35.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
34.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
32.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
32.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
27.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
26.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
26.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
26.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
25.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
24.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
23.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
23.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
23.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
22.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
22.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
22.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
22.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
22.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
21.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
21.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
21.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
21.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
21.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
21.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
20.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
20.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
20.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
20.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
20.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
20.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
19.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
19.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
19.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
19.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
19.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
18.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
18.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
18.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
18.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
18.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
18.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
18.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
18.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
18.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
18.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
17.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
17.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
17.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
17.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
17.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
17.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
17.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
17.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
17.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
16.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
16.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
16.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
16.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
16.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
16.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
16.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
16.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
16.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
16.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
16.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
16.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
16.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
16.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
15.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
15.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
15.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
15.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
15.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
15.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
15.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
15.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
15.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
15.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
15.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
15.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
15.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
15.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
15.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
15.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
15.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
15.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
15.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
15.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
15.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
15.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
15.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
15.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
15.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
14.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
14.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
14.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
14.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
14.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
14.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
14.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
14.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
14.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
14.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
14.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
14.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
14.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
14.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
14.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
14.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
14.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
13.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
13.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
13.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
13.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
13.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
13.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
13.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
13.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
13.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
13.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
13.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
13.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
13.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
13.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
13.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
13.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
13.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
13.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
13.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
13.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
12.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
12.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
12.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
12.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
12.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
12.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
12.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
12.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
12.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
12.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
12.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
12.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
12.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
12.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
12.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
12.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
12.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
12.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
12.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
12.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
12.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
12.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
12.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
12.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
12.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
12.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
12.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
11.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
11.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
11.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
11.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
11.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
11.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
11.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
11.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
11.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
11.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
11.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
11.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
11.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
11.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
11.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
11.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
11.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
11.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
11.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
11.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
11.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
11.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
11.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
11.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
10.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
10.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
10.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
10.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
10.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
10.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
10.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
10.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
10.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
10.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
10.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
10.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
10.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
10.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
10.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
10.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
10.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
10.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
10.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
10.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
10.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
10.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
9.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
9.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
9.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
9.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
9.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
9.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
9.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
9.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
9.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
9.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
9.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
9.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
9.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
9.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
8.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
8.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
8.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
8.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
8.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
8.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
8.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
8.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
8.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
8.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
8.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
8.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
8.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
8.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
7.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
7.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
7.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
7.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
7.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
7.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
7.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
7.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
7.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
6.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
6.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
6.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
6.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
6.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
5.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
5.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
5.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
5.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 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.
SCYL2 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
37.8
Number of samples
486
Samples
Sample
Description
TPM
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
77.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
66.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
65.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
64.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
64.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
64.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
62.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
62.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
61.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
61.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
61.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
60.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
60.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
58.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
56.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
56.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
55.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
55.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
55.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
54.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
54.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
54.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
53.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
53.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
52.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
52.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
52.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
52.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
51.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
51.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
51.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
51.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
51.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
51.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
51.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
50.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
50.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
50.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
50.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
49.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
49.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
49.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
48.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
48.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
48.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
48.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
48.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
48.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
47.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
47.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
47.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
47.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
47.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
47.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
47.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
47.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
47.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
47.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
47.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
47.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
47.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
46.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
46.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
46.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
46.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
46.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
46.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
46.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
46.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
46.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
46.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
46.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
45.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
45.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
45.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
45.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
45.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
45.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
45.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
45.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
45.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
45.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
45.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
45.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
45.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
44.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
44.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
44.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
44.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
44.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
44.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
44.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
44.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
44.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
44.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
44.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
44.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
44.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
44.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
44.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
44.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
44.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
44.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
43.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
43.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
43.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
43.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
43.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
43.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
43.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
43.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
43.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
43.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
43.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
43.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
43.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
43.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
43.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
43.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
43.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
43.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
43.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
43.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
43.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
43.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
43.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
43.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
42.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
42.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
42.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
42.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
42.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
42.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
42.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
42.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
42.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
42.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
42.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
42.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
42.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
42.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
41.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
41.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
41.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
41.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
41.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
41.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
41.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
41.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
41.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
41.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
41.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
41.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
41.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
41.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
41.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
41.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
41.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
41.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
41.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
41.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
40.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
40.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
40.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
40.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
40.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
40.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
40.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
40.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
40.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
40.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
40.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
40.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
40.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
40.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
40.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
40.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
40.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
40.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
40.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
40.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
40.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
40.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
40.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
40.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
40.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
39.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
39.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
39.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
39.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
39.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
39.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
39.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
39.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
39.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
39.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
39.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
39.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
39.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
39.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
39.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
39.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
39.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
39.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
38.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
38.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
38.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
38.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
38.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
38.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
38.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
38.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
38.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
38.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
38.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
38.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
38.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
38.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
38.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
38.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
38.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
38.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
38.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
38.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
38.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
38.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
38.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
38.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
38.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
37.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
37.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
37.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
37.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
37.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
37.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
37.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
37.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
37.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
37.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
37.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
37.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
37.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
37.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
37.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
37.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
37.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
37.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
37.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
37.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
37.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
37.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
37.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
36.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
36.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
36.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
36.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
36.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
36.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
36.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
36.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
36.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
36.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
36.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
36.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
36.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
36.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
36.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
36.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
36.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
36.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
36.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
35.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
35.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
35.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
35.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
35.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
35.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
35.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
35.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
35.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
35.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
35.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
35.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
35.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
35.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
35.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
35.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
35.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
35.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
35.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
35.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
35.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
35.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
35.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
35.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
35.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
34.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
34.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
34.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
34.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
34.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
34.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
34.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
34.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
34.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
34.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
34.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
34.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
34.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
34.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
34.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
34.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
34.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
34.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
34.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
34.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
34.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
34.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
34.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
34.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
34.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
34.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
34.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
34.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
34.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
34.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
33.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
33.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
33.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
33.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
33.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
33.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
33.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
33.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
33.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
33.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
33.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
33.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
33.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
33.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
33.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
33.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
33.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
33.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
33.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
32.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
32.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
32.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
32.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
32.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
32.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
32.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
32.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
32.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
32.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
32.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
32.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
32.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
32.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
32.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
32.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
32.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
32.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
32.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
31.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
31.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
31.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
31.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
31.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
31.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
31.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
31.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
31.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
31.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
31.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
31.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
31.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
31.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
31.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
31.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
31.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
31.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
31.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
31.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
31.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
30.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
30.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
30.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
30.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
30.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
30.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
30.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
30.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
30.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
30.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
30.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
30.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
30.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
30.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
30.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
30.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
30.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
30.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
30.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
30.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
29.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
29.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
29.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
29.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
29.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
29.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
29.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
29.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
29.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
29.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
29.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
29.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
29.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
29.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
29.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
28.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
28.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
28.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
28.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
28.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
28.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
28.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
28.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
28.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
28.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
28.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
28.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
27.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
27.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
27.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
27.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
27.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
27.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
27.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
27.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
27.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
27.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
27.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
26.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
26.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
26.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
26.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
26.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
26.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
26.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
26.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
26.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
25.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
25.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
25.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
25.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
25.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
25.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
25.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
25.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
24.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
24.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
24.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
24.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
24.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
23.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
22.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
22.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
22.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
22.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
22.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
22.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
21.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
21.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
21.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
21.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
21.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
20.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
20.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
19.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
18.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.0
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SCYL2 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
14.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
35.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
34.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
23.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
23.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
23.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
22.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
21.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
21.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
21.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
20.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
20.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
20.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
20.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
20.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
19.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
19.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
19.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
19.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
19.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
18.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
18.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
18.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
18.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
18.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
18.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
17.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
17.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
17.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
16.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
16.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
16.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
16.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
16.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
16.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
15.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
15.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
15.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
15.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
15.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
15.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
15.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
14.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
14.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
14.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
14.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
14.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
14.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
14.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
13.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
13.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
13.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
13.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
12.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
12.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
12.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
12.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
12.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
12.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
11.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
11.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
11.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
11.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
10.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
10.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
10.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
10.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
10.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
10.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
10.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
9.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
9.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
9.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
9.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
9.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
9.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
8.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
8.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
8.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
8.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
7.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
7.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
7.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
6.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
5.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
5.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
4.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
2.4
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.
SCYL2 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
34.8
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
58.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
57.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
55.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
55.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
54.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
50.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
50.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
48.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
48.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
47.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
47.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
47.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
47.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
46.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
46.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
46.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
46.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
45.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
45.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
44.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
44.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
44.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
44.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
44.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
44.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
44.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
43.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
43.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
43.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
42.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
42.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
42.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
42.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
41.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
41.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
41.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
41.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
41.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
41.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
41.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
40.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
40.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
40.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
39.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
39.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
39.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
39.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
39.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
39.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
39.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
39.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
38.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
38.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
38.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
38.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
38.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
38.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
38.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
38.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
38.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
38.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
38.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
37.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
37.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
37.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
37.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
37.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
37.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
37.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
37.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
37.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
37.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
37.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
37.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
36.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
36.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
36.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
36.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
36.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
36.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
36.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
36.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
36.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
36.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
36.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
36.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
36.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
36.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
35.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
35.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
35.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
35.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
35.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
35.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
35.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
35.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
35.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
35.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
35.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
35.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
35.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
35.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
34.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
34.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
34.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
34.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
34.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
34.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
34.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
34.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
34.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
34.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
34.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
33.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
33.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
33.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
33.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
33.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
33.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
33.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
33.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
33.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
33.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
33.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
33.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
33.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
32.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
32.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
32.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
32.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
32.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
32.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
32.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
32.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
32.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
32.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
31.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
31.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
31.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
31.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
31.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
31.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
31.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
31.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
30.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
30.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
30.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
30.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
30.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
30.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
30.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
30.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
30.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
30.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
30.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
29.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
29.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
29.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
29.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
29.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
29.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
29.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
29.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
28.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
28.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
28.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
28.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
27.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
27.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
27.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
27.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
27.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
27.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
27.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
26.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
26.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
26.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
26.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
26.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
26.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
26.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
26.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
26.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
25.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
25.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
25.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
25.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
24.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
24.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
23.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
23.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
22.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
22.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
22.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
22.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
22.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
21.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
19.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
18.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
15.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
15.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
14.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
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Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
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Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
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Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
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
