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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.
SORT1 is potential prognostic, high expression is favorable 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
22.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
68.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
66.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
58.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
48.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
46.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
45.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
44.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
43.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
43.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
42.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
42.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
42.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
41.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
40.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
39.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
39.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
38.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
38.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
38.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
38.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
36.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
36.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
36.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
36.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
36.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
35.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
35.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
35.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
34.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
34.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
34.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
33.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
33.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
33.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
32.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
32.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
32.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
32.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
32.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
31.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
31.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
31.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
31.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
31.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
30.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
30.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
30.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
30.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
29.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
29.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
29.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
29.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
29.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
28.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
28.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
28.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
28.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
27.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
27.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
27.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
27.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
27.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
27.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
27.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
27.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
27.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
26.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
26.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
26.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
26.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
26.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
26.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
26.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
26.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
26.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
25.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
25.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
25.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
25.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
25.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
25.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
25.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
24.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
24.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
24.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
24.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
24.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
24.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
24.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
24.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
24.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
23.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
23.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
23.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
23.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
23.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
23.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
23.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
23.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
23.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
22.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
22.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
22.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
22.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
22.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
22.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
22.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
22.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
22.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
22.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
21.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
21.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
21.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
21.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
21.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
21.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
21.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
20.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
20.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
20.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
20.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
20.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
20.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
20.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
20.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
20.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
20.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
20.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
19.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
19.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
19.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
19.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
19.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
19.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
19.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
19.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
19.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
19.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
19.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
19.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
19.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
19.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
19.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
18.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
18.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
18.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
18.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
18.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
18.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
18.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
18.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
18.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
18.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
18.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
17.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
17.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
17.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
17.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
17.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
17.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
17.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
17.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
17.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
17.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
17.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
17.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
17.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
17.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
16.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
16.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
16.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
16.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
16.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
16.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
16.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
16.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
16.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
16.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
16.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
16.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
16.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
16.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
16.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
16.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
16.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
15.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
15.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
15.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
15.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
15.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
15.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
15.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
15.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
15.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
15.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
14.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
14.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
14.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
14.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
14.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
14.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
14.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
14.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
14.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
14.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
14.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
14.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
14.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
14.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
13.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
13.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
13.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
13.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
13.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
13.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
13.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
12.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
12.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
12.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
12.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
12.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
12.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
12.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
12.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
12.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
12.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
12.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
11.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
11.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
11.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
11.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
11.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
10.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
10.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
10.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
10.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
10.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
9.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
9.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
9.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
9.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
8.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
8.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
7.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
7.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
6.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
5.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
5.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
5.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
5.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
5.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
5.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
3.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 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.
SORT1 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
45.8
Number of samples
486
Samples
Sample
Description
TPM
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
150.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
117.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
106.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
92.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
91.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
89.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
86.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
84.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
83.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
83.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
81.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
79.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
78.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
77.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
77.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
76.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
76.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
75.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
74.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
74.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
72.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
72.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
71.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
71.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
70.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
70.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
68.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
68.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
68.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
68.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
67.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
67.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
67.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
67.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
67.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
66.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
66.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
66.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
66.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
66.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
66.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
66.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
66.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
65.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
65.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
65.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
64.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
64.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
64.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
64.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
63.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
63.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
63.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
63.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
63.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
63.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
63.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
63.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
63.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
63.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
63.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
62.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
62.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
62.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
62.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
62.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
61.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
61.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
61.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
61.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
61.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
61.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
61.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
61.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
61.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
61.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
60.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
60.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
60.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
60.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
60.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
60.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
60.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
59.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
59.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
59.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
59.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
59.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
59.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
59.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
59.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
59.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
59.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
59.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
58.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
58.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
58.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
58.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
58.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
57.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
57.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
57.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
56.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
56.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
56.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
56.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
56.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
56.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
56.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
56.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
56.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
55.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
55.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
55.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
55.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
55.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
55.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
55.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
55.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
55.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
55.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
55.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
55.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
54.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
54.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
54.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
54.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
54.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
54.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
54.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
54.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
54.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
54.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
53.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
53.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
53.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
53.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
53.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
53.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
53.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
53.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
53.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
52.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
52.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
52.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
52.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
52.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
52.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
52.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
52.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
52.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
52.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
52.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
52.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
51.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
51.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
51.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
51.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
51.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
51.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
50.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
50.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
50.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
50.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
50.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
50.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
50.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
50.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
50.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
50.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
50.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
50.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
50.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
50.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
50.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
50.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
50.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
50.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
49.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
49.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
49.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
49.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
49.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
49.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
49.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
49.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
49.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
49.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
49.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
49.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
49.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
49.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
49.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
49.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
49.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
48.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
48.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
48.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
48.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
48.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
48.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
48.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
48.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
48.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
48.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
48.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
48.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
48.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
48.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
48.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
48.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
47.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
47.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
47.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
47.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
47.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
47.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
47.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
47.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
47.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
47.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
47.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
47.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
47.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
46.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
46.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
46.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
46.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
46.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
46.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
46.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
46.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
45.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
45.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
45.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
45.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
45.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
45.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
45.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
45.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
45.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
45.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
45.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
45.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
44.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
44.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
44.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
44.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
44.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
44.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
44.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
44.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
44.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
44.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
43.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
43.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
43.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
43.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
43.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
43.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
43.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
43.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
43.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
43.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
43.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
43.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
43.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
42.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
42.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
42.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
42.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
42.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
42.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
42.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
42.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
42.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
42.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
42.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
42.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
41.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
41.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
41.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
41.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
41.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
41.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
41.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
41.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
41.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
41.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
41.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
40.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
40.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
40.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
40.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
40.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
40.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
40.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
40.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
40.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
39.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
39.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
39.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
39.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
39.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
39.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
39.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
39.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
39.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
39.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
39.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
39.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
39.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
39.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
39.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
39.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
39.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
39.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
39.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
38.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
38.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
38.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
38.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
38.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
38.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
38.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
38.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
38.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
38.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
38.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
38.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
37.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
37.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
37.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
37.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
37.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
37.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
37.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
37.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
37.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
37.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
36.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
36.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
36.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
36.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
36.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
36.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
36.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
36.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
36.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
36.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
36.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
36.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
36.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
35.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
35.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
35.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
35.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
35.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
35.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
35.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
35.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
34.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
34.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
34.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
34.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
34.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
34.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
34.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
34.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
34.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
34.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
34.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
34.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
33.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
33.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
33.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
33.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
33.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
33.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
33.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
33.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
33.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
33.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
33.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
32.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
32.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
32.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
32.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
32.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
32.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
32.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
32.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
32.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
32.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
32.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
32.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
32.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
31.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
31.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
31.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
31.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
31.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
31.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
31.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
31.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
31.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
30.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
30.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
30.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
30.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
30.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
30.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
30.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
30.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
29.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
29.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
29.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
29.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
29.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
29.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
29.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
29.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
29.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
29.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
28.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
28.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
28.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
28.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
28.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
28.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
28.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
28.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
28.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
27.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
27.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
27.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
27.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
27.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
27.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
26.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
26.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
26.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
26.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
26.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
26.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
26.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
26.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
25.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
25.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
25.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
25.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
25.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
25.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
25.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
24.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
24.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
24.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
24.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
24.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
24.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
23.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
23.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
22.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
22.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
21.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
21.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
21.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
20.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
19.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
18.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
18.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
18.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
17.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
17.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
17.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
16.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
15.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
15.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
15.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
13.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
13.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
6.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SORT1 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
22.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
46.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
39.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
39.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
37.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
36.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
35.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
34.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
33.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
33.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
32.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
31.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
31.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
31.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
30.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
30.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
30.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
29.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
29.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
29.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
28.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
28.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
28.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
28.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
27.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
26.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
25.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
25.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
25.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
25.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
25.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
25.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
24.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
24.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
24.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
24.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
23.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
23.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
23.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
23.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
23.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
22.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
22.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
22.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
22.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
22.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
21.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
21.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
21.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
20.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
19.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
19.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
19.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
19.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
19.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
19.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
18.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
18.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
18.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
18.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
17.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
17.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
17.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
17.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
16.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
16.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
16.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
16.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
16.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
16.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
15.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
15.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
15.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
14.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
13.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
13.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
12.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
12.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
12.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
11.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
11.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
10.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
10.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
10.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
8.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
8.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
6.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
5.9
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.
SORT1 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
44.3
Number of samples
207
Samples
Sample
Description
TPM
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
98.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
86.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
82.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
79.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
78.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
74.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
72.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
72.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
72.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
69.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
69.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
69.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
69.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
69.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
66.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
65.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
64.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
63.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
63.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
63.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
62.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
62.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
62.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
61.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
61.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
59.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
59.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
58.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
58.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
58.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
58.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
57.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
57.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
57.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
56.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
56.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
55.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
55.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
55.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
54.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
54.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
54.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
54.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
53.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
53.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
53.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
52.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
52.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
52.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
52.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
52.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
51.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
51.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
51.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
51.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
51.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
50.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
50.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
50.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
50.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
50.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
50.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
50.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
49.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
48.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
48.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
48.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
48.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
48.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
48.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
48.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
48.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
48.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
48.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
48.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
47.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
47.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
46.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
46.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
46.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
46.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
45.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
45.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
45.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
45.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
45.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
45.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
45.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
44.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
44.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
44.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
44.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
44.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
44.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
44.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
43.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
43.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
43.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
43.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
43.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
43.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
43.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
43.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
43.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
43.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
43.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
42.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
42.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
42.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
42.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
42.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
42.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
42.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
42.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
41.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
41.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
41.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
40.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
40.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
40.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
39.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
39.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
39.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
39.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
39.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
39.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
39.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
39.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
38.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
38.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
38.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
38.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
38.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
37.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
37.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
37.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
37.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
37.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
37.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
37.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
37.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
37.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
36.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
36.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
36.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
36.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
36.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
35.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
35.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
35.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
35.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
35.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
35.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
35.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
34.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
34.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
34.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
34.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
33.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
33.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
33.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
33.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
33.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
33.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
33.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
32.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
32.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
32.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
32.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
32.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
32.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
32.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
31.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
31.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
31.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
31.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
31.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
31.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
31.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
31.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
31.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
31.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
30.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
30.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
30.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
29.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
29.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
29.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
28.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
28.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
26.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
26.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
26.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
26.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
25.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
25.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
24.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
23.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
22.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
22.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
19.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
19.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
18.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
17.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
17.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
15.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
1.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.9
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.9
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.8
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.8
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.7
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.6
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.6
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.6
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.6
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
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Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
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Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
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Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
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Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
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Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
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Tumor
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
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Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
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Normal
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
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Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
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Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
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Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
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Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
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Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
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Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
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Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
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Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
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Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.4
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Normal
-0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.5
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Tumor
-0.6
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Tumor
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.9
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-1.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-1.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.1
b2400046-1d25-429d-a821-6040a6
Tumor
-1.8
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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.