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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.
VSNL1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
23.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
189.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
131.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
110.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
108.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
84.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
71.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
70.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
68.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
65.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
62.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
61.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
58.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
58.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
58.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
52.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
50.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
48.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
48.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
47.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
47.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
45.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
45.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
45.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
44.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
44.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
44.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
42.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
42.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
42.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
42.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
42.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
41.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
41.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
41.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
40.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
39.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
39.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
38.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
38.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
38.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
36.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
35.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
35.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
35.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
35.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
35.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
34.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
34.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
33.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
33.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
33.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
33.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
33.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
32.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
32.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
32.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
31.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
31.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
31.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
31.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
31.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
31.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
30.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
30.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
30.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
30.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
30.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
30.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
29.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
29.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
29.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
28.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
27.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
27.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
27.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
27.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
27.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
27.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
27.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
26.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
26.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
26.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
25.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
25.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
25.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
25.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
25.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
25.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
25.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
25.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
25.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
24.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
24.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
24.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
24.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
24.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
23.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
23.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
23.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
23.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
23.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
23.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
22.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
22.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
22.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
22.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
22.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
22.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
22.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
21.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
21.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
21.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
21.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
21.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
21.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
20.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
20.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
20.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
20.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
20.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
20.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
19.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
19.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
19.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
19.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
19.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
19.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
19.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
19.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
19.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
19.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
18.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
18.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
18.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
17.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
17.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
17.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
17.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
17.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
17.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
16.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
16.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
16.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
16.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
16.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
16.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
16.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
16.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
15.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
15.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
15.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
15.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
15.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
15.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
15.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
15.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
15.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
15.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
15.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
15.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
14.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
14.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
14.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
14.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
14.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
14.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
14.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
14.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
14.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
13.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
13.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
13.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
13.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
13.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
13.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
12.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
12.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
12.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
12.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
12.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
12.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
12.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
11.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
11.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
11.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
11.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
11.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
10.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
10.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
10.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
10.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
10.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
10.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
10.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
10.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
9.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
9.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
9.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
9.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
9.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
9.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
8.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
8.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
8.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
7.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
7.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
7.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
7.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
7.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
7.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
7.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
7.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
7.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
6.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
6.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
6.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
6.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
6.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
6.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
6.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
6.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
5.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
5.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
5.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
5.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
5.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
5.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
5.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
5.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
5.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
4.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
4.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
4.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
4.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
4.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
3.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
3.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
3.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
3.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
3.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
3.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
3.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
2.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
1.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
1.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
1.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
0.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 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.
VSNL1 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
24.1
Number of samples
486
Samples
Sample
Description
TPM
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
100.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
94.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
91.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
88.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
82.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
80.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
79.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
73.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
73.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
72.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
71.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
68.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
67.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
66.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
66.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
65.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
64.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
63.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
63.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
61.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
60.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
59.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
58.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
57.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
57.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
56.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
56.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
56.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
56.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
54.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
54.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
54.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
53.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
53.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
52.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
51.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
51.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
51.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
51.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
49.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
49.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
49.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
48.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
48.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
47.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
47.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
47.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
47.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
46.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
46.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
46.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
46.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
46.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
46.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
46.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
46.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
46.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
45.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
45.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
44.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
44.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
44.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
44.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
43.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
43.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
43.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
42.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
42.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
42.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
42.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
42.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
42.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
41.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
41.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
41.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
41.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
41.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
41.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
40.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
40.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
40.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
39.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
39.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
39.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
39.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
38.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
38.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
38.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
38.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
38.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
38.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
37.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
37.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
36.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
36.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
36.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
36.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
36.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
36.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
35.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
35.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
35.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
35.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
34.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
34.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
34.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
34.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
33.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
33.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
33.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
32.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
32.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
32.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
32.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
32.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
32.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
32.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
32.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
31.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
31.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
31.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
31.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
31.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
30.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
30.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
30.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
30.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
30.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
29.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
29.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
29.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
29.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
29.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
29.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
29.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
29.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
29.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
29.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
29.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
28.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
28.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
28.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
28.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
28.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
28.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
28.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
28.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
28.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
27.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
27.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
27.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
27.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
27.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
27.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
27.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
27.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
27.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
26.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
26.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
26.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
26.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
26.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
26.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
26.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
26.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
26.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
25.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
25.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
25.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
25.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
25.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
25.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
24.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
24.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
24.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
24.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
24.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
23.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
23.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
23.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
23.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
23.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
23.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
23.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
23.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
23.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
23.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
23.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
23.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
23.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
23.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
23.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
23.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
22.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
22.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
22.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
22.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
22.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
22.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
22.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
22.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
22.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
22.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
22.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
22.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
22.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
22.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
22.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
22.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
22.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
22.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
21.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
21.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
21.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
21.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
21.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
21.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
21.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
21.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
21.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
21.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
21.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
21.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
21.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
21.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
21.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
21.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
20.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
20.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
20.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
20.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
20.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
20.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
20.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
20.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
20.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
20.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
20.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
20.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
20.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
20.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
19.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
19.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
19.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
19.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
19.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
19.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
19.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
19.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
19.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
19.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
19.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
19.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
19.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
19.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
19.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
18.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
18.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
18.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
18.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
18.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
18.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
18.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
18.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
18.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
18.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
18.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
18.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
18.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
18.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
18.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
18.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
18.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
17.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
17.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
17.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
17.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
17.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
17.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
17.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
17.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
17.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
17.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
17.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
17.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
17.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
17.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
17.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
16.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
16.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
16.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
16.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
16.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
16.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
16.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
16.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
16.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
16.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
16.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
16.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
16.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
16.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
16.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
16.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
16.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
15.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
15.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
15.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
15.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
15.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
15.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
15.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
15.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
15.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
15.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
15.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
15.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
15.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
15.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
15.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
15.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
15.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
14.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
14.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
14.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
14.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
14.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
14.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
14.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
14.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
14.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
14.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
14.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
14.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
13.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
13.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
13.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
13.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
13.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
13.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
13.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
13.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
13.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
13.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
13.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
13.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
13.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
13.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
13.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
12.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
12.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
12.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
12.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
12.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
12.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
12.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
12.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
12.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
12.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
12.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
12.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
12.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
12.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
12.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
12.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
11.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
11.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
11.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
11.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
11.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
11.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
11.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
11.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
11.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
11.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
11.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
11.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
10.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
10.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
10.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
10.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
10.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
10.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
10.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
10.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
10.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
10.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
10.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
10.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
9.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
9.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
9.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
9.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
9.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
9.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
9.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
9.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
9.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
8.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
8.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
8.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
8.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
8.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
8.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
8.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
8.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
8.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
8.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
8.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
8.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
8.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
8.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
7.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
7.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
7.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
7.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
7.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
7.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
7.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
7.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
7.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
7.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
6.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
6.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
6.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
6.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
6.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
6.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
6.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
6.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
6.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
6.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
6.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
6.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
6.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
6.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
6.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
6.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
5.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
5.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
5.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
5.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
5.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
5.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
5.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
5.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
4.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
4.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
4.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
4.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
4.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
4.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
4.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
4.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
4.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
4.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
4.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
4.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
4.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
3.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
3.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
3.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
3.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
3.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
3.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
3.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
2.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
2.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
2.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
2.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
2.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
2.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
2.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
1.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
1.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
1.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
1.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
0.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
0.6
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.
VSNL1 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
25.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
146.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
113.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
101.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
88.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
63.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
58.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
57.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
57.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
53.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
51.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
46.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
45.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
44.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
43.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
43.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
39.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
39.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
36.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
34.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
33.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
32.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
32.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
31.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
30.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
29.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
28.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
28.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
28.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
27.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
27.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
26.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
26.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
24.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
24.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
23.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
23.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
23.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
23.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
23.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
22.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
20.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
20.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
20.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
19.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
19.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
18.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
18.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
18.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
18.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
17.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
17.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
17.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
16.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
15.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
14.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
13.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
13.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
13.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
12.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
12.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
11.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
11.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
11.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
10.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
10.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
10.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
10.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
9.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
9.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
9.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
8.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
6.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
6.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
6.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
6.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
5.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
5.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
5.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
5.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
5.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
5.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
4.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
4.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
4.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
4.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 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.
VSNL1 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
20.7
Number of samples
207
Samples
Sample
Description
TPM
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
81.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
77.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
76.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
72.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
61.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
56.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
52.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
51.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
51.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
49.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
49.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
48.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
46.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
45.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
43.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
42.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
42.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
41.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
41.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
40.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
40.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
39.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
39.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
39.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
39.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
39.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
38.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
38.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
37.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
36.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
35.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
35.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
34.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
34.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
34.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
33.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
32.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
31.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
31.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
31.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
31.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
30.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
30.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
30.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
30.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
30.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
29.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
29.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
28.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
28.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
27.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
27.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
26.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
25.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
25.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
24.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
24.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
24.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
24.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
24.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
23.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
23.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
23.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
23.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
22.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
22.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
22.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
22.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
22.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
22.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
22.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
22.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
22.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
21.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
21.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
20.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
20.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
20.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
20.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
20.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
20.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
19.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
19.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
19.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
19.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
19.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
19.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
19.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
18.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
18.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
18.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
18.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
18.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
18.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
18.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
18.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
18.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
18.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
17.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
17.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
17.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
17.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
17.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
17.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
17.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
17.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
16.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
16.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
16.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
16.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
16.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
15.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
15.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
15.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
15.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
15.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
15.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
14.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
14.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
14.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
14.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
14.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
14.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
14.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
14.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
14.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
14.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
14.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
14.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
13.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
13.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
13.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
13.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
13.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
13.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
13.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
12.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
12.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
12.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
12.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
12.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
12.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
12.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
11.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
11.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
11.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
11.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
11.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
11.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
10.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
10.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
10.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
10.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
10.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
10.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
10.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
10.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
10.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
9.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
9.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
9.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
9.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
9.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
8.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
8.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
8.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
8.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
8.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
8.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
8.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
7.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
7.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
7.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
7.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
6.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
6.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
6.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
6.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
6.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
5.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
5.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
5.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
5.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
5.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
5.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
5.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
5.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
4.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
4.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
4.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
4.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
4.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
4.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
4.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
3.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
3.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
3.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
3.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
2.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
1.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
1.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
1.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
0.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
0.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
0.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
2.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
1.8
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
1.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
1.6
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
1.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
1.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
1.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
1.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
1.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
1.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
1.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
1.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
1.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
1.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
1.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
1.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
1.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
1.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.9
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.8
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.7
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.7
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.6
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.6
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.6
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.6
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
b2400046-1d25-429d-a821-6040a6
Tumor
-0.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.6
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.7
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.7
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.7
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.7
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.7
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.7
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.7
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.7
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.8
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.8
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.8
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.8
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.8
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.8
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.8
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.8
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.8
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.8
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.8
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.8
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.8
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.8
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.8
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.9
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.9
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.9
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.9
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.9
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.9
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.9
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.9
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.9
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-1.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
-1.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-1.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-1.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-1.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-1.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-1.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-1.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-1.0
82157a70-12f1-4913-b548-d98881_D2
Normal
-1.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.0
963fc8db-f412-4427-a198-23f660_D2
Normal
-1.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-1.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-1.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-1.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-1.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-1.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-1.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-1.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-1.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-1.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-1.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-1.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-1.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-1.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-1.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-1.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-1.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-1.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-1.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-1.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-1.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-1.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-1.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-1.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-1.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-1.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-1.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.8
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-1.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
