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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.
NID1 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
16.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
133.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
78.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
69.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
60.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
50.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
50.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
47.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
44.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
42.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
41.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
40.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
40.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
39.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
38.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
38.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
38.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
37.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
37.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
37.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
36.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
36.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
35.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
35.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
34.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
34.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
33.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
32.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
32.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
31.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
31.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
30.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
30.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
29.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
28.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
28.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
27.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
27.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
26.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
26.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
26.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
25.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
25.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
25.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
24.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
24.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
24.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
24.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
24.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
24.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
23.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
22.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
22.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
22.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
22.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
21.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
21.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
21.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
21.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
21.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
21.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
21.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
20.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
20.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
20.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
20.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
20.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
19.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
19.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
19.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
19.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
19.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
19.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
19.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
19.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
18.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
18.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
18.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
18.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
18.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
18.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
18.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
18.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
18.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
17.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
17.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
17.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
17.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
17.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
17.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
17.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
16.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
16.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
16.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
16.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
16.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
16.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
16.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
16.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
16.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
15.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
15.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
15.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
15.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
15.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
15.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
15.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
15.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
15.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
15.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
15.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
15.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
15.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
15.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
15.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
15.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
15.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
15.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
15.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
15.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
15.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
14.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
14.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
14.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
14.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
14.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
14.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
14.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
14.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
14.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
13.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
13.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
13.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
13.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
13.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
13.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
13.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
13.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
13.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
13.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
13.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
12.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
12.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
12.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
12.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
12.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
12.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
12.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
12.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
12.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
12.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
12.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
11.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
11.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
11.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
11.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
11.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
11.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
11.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
11.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
11.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
10.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
10.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
10.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
10.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
10.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
10.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
10.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
10.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
10.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
10.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
10.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
10.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
9.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
9.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
9.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
9.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
9.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
9.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
9.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
9.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
9.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
8.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
8.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
8.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
8.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
8.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
8.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
8.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
8.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
8.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
8.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
7.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
7.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
7.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
7.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
7.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
7.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
7.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
7.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
7.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
6.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
6.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
6.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
6.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
6.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
6.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
6.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
6.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
6.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
6.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
5.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
5.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
5.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
5.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
5.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
5.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
5.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
5.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
5.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
5.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
5.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
5.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
4.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
4.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
4.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
4.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
4.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
4.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
4.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
4.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
4.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
4.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
3.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
3.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
3.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
3.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
3.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
3.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
3.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
3.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
3.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
3.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
3.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
3.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
2.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
2.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
2.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
2.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
2.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
2.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
2.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
1.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 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.
NID1 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
42.6
Number of samples
486
Samples
Sample
Description
TPM
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
198.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
150.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
144.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
135.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
129.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
112.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
110.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
100.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
99.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
97.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
97.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
95.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
92.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
92.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
90.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
89.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
89.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
89.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
88.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
83.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
82.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
79.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
78.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
76.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
74.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
74.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
73.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
72.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
72.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
71.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
71.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
71.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
70.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
70.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
70.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
70.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
70.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
70.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
69.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
68.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
68.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
67.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
66.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
66.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
66.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
66.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
65.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
65.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
64.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
64.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
63.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
62.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
62.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
61.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
61.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
61.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
61.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
61.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
61.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
61.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
61.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
60.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
60.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
60.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
60.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
59.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
59.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
59.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
59.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
59.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
59.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
58.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
58.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
58.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
58.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
58.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
57.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
57.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
57.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
57.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
57.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
57.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
57.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
56.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
55.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
55.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
55.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
55.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
55.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
55.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
54.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
54.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
54.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
54.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
54.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
54.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
53.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
53.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
53.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
53.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
53.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
52.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
52.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
52.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
52.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
52.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
52.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
52.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
52.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
52.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
52.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
52.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
52.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
52.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
51.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
51.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
51.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
51.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
51.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
51.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
51.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
51.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
51.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
51.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
50.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
50.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
50.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
50.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
50.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
50.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
50.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
50.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
49.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
49.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
49.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
49.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
49.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
49.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
49.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
49.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
48.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
48.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
48.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
48.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
48.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
48.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
48.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
48.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
48.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
48.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
47.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
47.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
47.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
47.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
47.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
46.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
46.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
46.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
46.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
46.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
46.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
46.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
45.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
45.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
45.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
45.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
45.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
45.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
45.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
45.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
45.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
45.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
45.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
45.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
45.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
45.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
45.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
45.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
45.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
45.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
44.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
44.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
44.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
44.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
44.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
44.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
44.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
44.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
44.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
44.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
44.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
44.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
43.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
43.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
43.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
43.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
43.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
43.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
43.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
43.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
43.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
43.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
43.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
43.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
42.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
42.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
42.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
42.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
42.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
41.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
41.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
41.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
41.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
41.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
41.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
41.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
41.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
41.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
41.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
41.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
41.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
41.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
41.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
41.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
40.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
40.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
40.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
40.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
40.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
40.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
40.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
40.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
39.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
39.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
39.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
39.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
39.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
39.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
39.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
38.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
38.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
38.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
38.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
38.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
38.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
38.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
38.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
38.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
38.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
38.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
38.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
38.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
38.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
38.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
38.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
38.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
38.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
38.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
38.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
38.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
37.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
37.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
37.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
37.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
37.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
37.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
37.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
37.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
37.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
37.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
37.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
36.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
36.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
36.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
36.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
36.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
36.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
36.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
36.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
36.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
36.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
36.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
36.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
36.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
36.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
36.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
35.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
35.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
35.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
35.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
35.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
35.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
35.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
35.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
35.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
34.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
34.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
34.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
34.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
34.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
34.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
34.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
34.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
34.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
34.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
34.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
34.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
33.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
33.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
33.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
33.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
33.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
33.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
33.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
33.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
33.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
33.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
33.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
33.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
33.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
33.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
32.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
32.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
32.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
32.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
32.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
32.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
32.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
32.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
32.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
32.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
32.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
32.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
31.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
31.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
31.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
31.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
31.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
31.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
31.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
31.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
31.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
31.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
31.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
30.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
30.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
30.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
30.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
30.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
30.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
30.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
30.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
30.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
30.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
30.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
30.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
30.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
30.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
30.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
30.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
30.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
30.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
29.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
29.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
29.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
29.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
29.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
29.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
29.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
29.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
29.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
29.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
28.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
28.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
28.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
28.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
28.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
28.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
28.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
28.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
28.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
28.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
28.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
28.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
28.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
28.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
28.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
27.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
27.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
27.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
27.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
27.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
27.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
27.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
27.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
26.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
26.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
26.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
26.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
26.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
26.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
26.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
26.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
25.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
25.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
25.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
25.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
25.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
25.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
25.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
25.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
25.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
25.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
24.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
24.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
24.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
24.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
24.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
24.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
24.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
24.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
24.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
23.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
23.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
23.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
23.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
23.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
23.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
23.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
23.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
23.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
23.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
22.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
22.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
22.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
22.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
22.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
22.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
22.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
22.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
22.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
21.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
21.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
21.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
21.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
21.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
21.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
21.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
21.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
21.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
20.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
20.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
20.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
20.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
20.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
20.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
20.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
20.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
19.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
19.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
19.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
19.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
19.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
18.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
18.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
18.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
18.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
18.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
18.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
17.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
17.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
17.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
16.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
16.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
15.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
15.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
15.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
15.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
14.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
12.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
11.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
11.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
7.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
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.
NID1 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
19.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
104.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
50.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
46.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
46.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
43.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
43.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
40.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
40.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
39.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
37.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
36.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
32.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
31.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
31.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
30.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
30.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
28.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
28.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
28.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
28.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
28.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
27.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
26.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
25.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
23.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
23.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
22.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
22.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
21.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
20.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
20.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
19.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
19.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
19.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
19.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
19.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
18.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
18.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
18.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
18.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
16.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
16.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
16.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
15.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
15.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
14.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
14.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
14.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
14.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
14.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
14.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
13.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
13.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
13.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
13.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
13.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
13.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
12.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
12.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
12.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
12.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
11.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
10.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
10.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
10.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
9.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
9.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
9.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
8.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
8.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
8.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
7.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
7.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
7.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
6.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
6.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
5.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
5.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
5.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
5.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
4.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
4.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
3.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
3.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
2.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
2.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
NID1 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
48.9
Number of samples
207
Samples
Sample
Description
TPM
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
144.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
130.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
116.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
108.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
104.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
101.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
101.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
101.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
100.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
91.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
90.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
90.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
88.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
84.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
84.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
83.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
83.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
83.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
82.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
81.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
80.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
80.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
79.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
77.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
77.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
76.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
76.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
74.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
73.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
72.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
71.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
70.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
69.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
69.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
69.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
69.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
68.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
68.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
67.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
67.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
66.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
66.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
66.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
65.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
65.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
65.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
64.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
64.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
62.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
62.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
62.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
62.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
62.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
62.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
60.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
60.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
59.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
59.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
59.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
58.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
58.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
58.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
58.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
58.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
58.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
58.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
57.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
57.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
57.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
56.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
55.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
55.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
55.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
55.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
54.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
54.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
54.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
54.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
54.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
54.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
53.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
53.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
53.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
51.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
51.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
51.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
50.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
50.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
50.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
49.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
49.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
49.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
49.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
49.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
49.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
48.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
48.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
47.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
47.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
47.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
46.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
46.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
46.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
46.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
46.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
45.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
44.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
43.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
43.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
43.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
43.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
43.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
43.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
42.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
42.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
41.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
41.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
41.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
41.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
41.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
40.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
40.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
40.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
40.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
40.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
39.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
39.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
39.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
39.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
38.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
38.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
38.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
38.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
37.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
36.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
36.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
36.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
36.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
36.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
36.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
36.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
36.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
36.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
35.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
35.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
35.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
35.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
34.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
34.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
34.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
34.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
34.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
33.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
33.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
33.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
33.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
32.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
32.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
32.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
31.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
31.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
30.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
30.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
28.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
28.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
27.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
27.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
27.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
26.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
26.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
26.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
26.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
25.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
25.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
25.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
25.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
25.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
24.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
24.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
23.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
23.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
23.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
22.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
22.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
22.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
22.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
19.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
19.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
19.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
18.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
18.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
18.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
18.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
17.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
17.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
16.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
16.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
15.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
14.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
14.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
13.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
11.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
11.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
11.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
5.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
1.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
1.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
1.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
1.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
1.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
1.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
1.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
1.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
1.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
1.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
1.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
1.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
1.0
1c070992-647b-4173-a481-904c4d_D2
Normal
1.0
41a04113-2061-4923-bca5-da586c_D2
Normal
1.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.9
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.9
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.9
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.9
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.9
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.9
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.9
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.9
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.9
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.8
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.8
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.8
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.8
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.8
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.7
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.7
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.7
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.6
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.6
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.7
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.7
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.7
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.7
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.8
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.8
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.8
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.8
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.8
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.8
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.8
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.8
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.9
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.9
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.9
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.9
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.9
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.9
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.9
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.9
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.9
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.9
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-1.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-1.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.4
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
