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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.
FNDC3B 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
18.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
90.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
78.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
71.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
69.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
55.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
49.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
49.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
45.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
41.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
37.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
37.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
36.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
35.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
35.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
34.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
34.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
34.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
34.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
33.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
32.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
32.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
31.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
30.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
30.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
30.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
29.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
29.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
28.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
28.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
28.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
28.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
28.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
28.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
28.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
27.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
27.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
27.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
27.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
26.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
26.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
26.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
26.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
26.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
25.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
25.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
25.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
25.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
24.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
24.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
24.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
24.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
24.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
23.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
23.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
23.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
23.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
22.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
22.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
22.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
22.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
22.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
22.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
22.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
22.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
22.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
21.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
21.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
21.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
21.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
21.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
21.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
21.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
21.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
20.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
20.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
20.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
20.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
20.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
20.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
20.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
20.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
19.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
19.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
19.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
19.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
19.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
19.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
19.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
19.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
19.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
18.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
18.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
18.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
18.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
18.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
18.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
18.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
18.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
18.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
18.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
18.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
18.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
17.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
17.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
17.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
17.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
17.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
17.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
17.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
17.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
17.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
17.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
16.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
16.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
16.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
16.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
16.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
16.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
16.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
16.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
16.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
16.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
16.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
16.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
16.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
16.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
16.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
15.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
15.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
15.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
15.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
15.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
15.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
15.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
15.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
14.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
14.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
14.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
14.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
14.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
14.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
14.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
14.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
14.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
14.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
14.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
14.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
14.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
14.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
14.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
14.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
14.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
14.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
14.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
13.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
13.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
13.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
13.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
13.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
13.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
13.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
13.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
13.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
13.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
13.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
13.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
13.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
13.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
13.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
13.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
13.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
13.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
12.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
12.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
12.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
12.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
12.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
12.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
12.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
12.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
12.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
12.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
12.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
12.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
12.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
12.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
12.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
11.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
11.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
11.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
11.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
11.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
11.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
11.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
11.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
11.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
11.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
11.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
10.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
10.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
10.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
10.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
10.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
10.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
10.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
10.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
10.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
10.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
10.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
10.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
10.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
10.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
10.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
10.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
10.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
9.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
9.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
9.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
9.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
9.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
9.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
9.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
8.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
8.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
8.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
8.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
8.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
8.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
8.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
8.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
8.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
8.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
8.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
7.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
7.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
7.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
7.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
7.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
7.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
7.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
7.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
7.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
6.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
6.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
6.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
6.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
6.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
6.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
5.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
5.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
5.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
4.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
4.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 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.
FNDC3B 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
150.3
Number of samples
486
Samples
Sample
Description
TPM
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
361.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
311.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
305.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
298.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
290.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
276.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
274.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
262.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
253.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
250.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
249.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
247.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
245.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
241.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
237.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
236.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
235.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
234.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
234.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
233.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
232.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
231.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
228.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
227.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
226.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
225.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
225.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
224.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
223.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
223.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
222.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
221.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
221.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
219.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
218.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
216.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
216.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
214.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
214.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
214.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
214.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
212.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
211.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
211.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
210.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
209.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
208.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
207.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
207.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
205.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
204.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
204.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
201.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
200.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
198.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
198.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
197.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
196.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
194.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
194.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
194.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
192.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
192.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
190.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
189.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
189.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
188.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
188.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
187.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
186.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
186.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
186.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
186.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
185.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
185.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
185.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
185.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
184.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
183.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
183.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
183.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
182.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
182.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
181.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
181.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
181.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
180.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
180.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
179.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
179.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
179.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
178.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
178.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
178.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
178.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
178.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
177.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
177.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
177.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
176.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
176.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
176.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
176.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
176.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
175.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
174.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
174.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
174.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
174.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
173.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
173.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
173.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
173.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
173.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
172.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
171.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
171.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
171.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
171.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
171.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
171.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
171.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
171.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
170.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
170.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
170.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
169.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
169.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
169.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
169.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
169.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
168.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
168.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
167.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
167.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
167.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
167.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
166.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
166.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
166.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
166.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
166.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
166.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
165.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
165.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
165.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
165.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
165.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
165.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
164.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
163.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
163.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
163.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
163.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
163.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
162.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
162.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
161.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
161.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
161.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
160.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
160.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
160.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
160.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
159.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
159.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
159.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
159.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
158.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
158.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
158.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
158.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
158.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
157.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
157.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
157.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
157.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
157.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
157.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
157.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
156.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
156.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
156.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
156.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
156.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
155.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
155.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
155.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
154.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
154.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
154.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
154.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
153.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
153.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
153.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
153.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
153.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
153.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
152.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
152.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
151.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
151.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
151.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
151.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
151.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
151.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
151.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
150.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
149.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
149.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
149.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
149.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
149.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
149.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
149.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
149.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
149.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
149.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
149.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
149.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
149.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
148.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
148.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
147.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
147.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
147.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
147.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
147.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
147.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
147.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
146.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
146.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
146.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
146.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
145.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
145.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
145.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
145.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
144.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
144.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
144.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
144.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
144.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
143.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
143.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
143.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
143.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
143.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
143.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
143.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
143.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
143.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
142.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
142.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
142.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
142.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
141.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
141.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
141.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
141.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
141.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
140.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
140.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
140.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
140.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
140.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
139.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
139.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
139.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
139.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
139.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
139.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
138.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
138.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
138.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
138.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
138.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
138.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
137.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
137.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
137.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
137.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
137.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
137.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
137.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
137.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
137.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
136.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
135.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
135.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
135.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
135.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
135.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
135.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
135.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
135.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
134.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
134.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
134.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
133.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
133.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
133.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
133.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
133.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
133.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
133.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
132.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
132.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
132.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
132.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
132.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
132.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
131.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
131.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
131.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
131.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
130.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
130.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
130.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
130.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
130.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
130.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
130.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
130.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
129.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
129.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
129.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
129.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
129.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
128.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
128.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
128.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
128.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
128.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
128.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
127.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
127.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
127.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
127.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
126.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
126.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
126.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
126.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
126.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
126.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
126.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
125.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
125.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
125.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
124.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
124.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
124.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
124.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
123.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
123.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
123.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
123.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
123.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
123.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
122.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
122.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
122.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
122.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
122.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
122.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
121.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
121.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
121.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
121.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
120.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
120.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
120.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
120.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
120.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
120.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
119.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
119.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
119.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
119.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
119.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
119.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
119.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
119.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
119.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
119.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
118.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
118.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
118.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
118.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
118.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
118.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
118.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
118.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
117.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
117.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
117.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
117.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
117.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
116.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
116.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
116.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
115.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
115.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
115.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
115.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
115.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
114.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
114.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
114.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
114.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
114.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
113.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
113.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
113.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
112.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
112.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
112.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
112.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
111.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
111.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
111.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
111.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
110.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
110.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
110.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
110.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
110.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
110.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
110.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
109.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
108.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
108.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
108.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
108.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
107.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
107.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
107.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
106.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
105.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
105.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
105.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
105.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
104.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
104.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
104.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
104.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
103.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
103.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
103.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
102.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
102.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
102.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
102.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
102.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
102.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
100.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
100.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
100.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
100.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
100.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
100.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
99.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
98.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
97.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
97.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
97.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
97.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
96.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
94.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
93.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
93.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
92.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
92.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
90.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
89.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
88.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
87.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
87.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
86.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
84.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
82.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
80.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
70.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
65.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.5
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.
FNDC3B 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
18.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
62.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
61.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
36.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
35.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
31.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
31.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
31.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
29.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
29.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
28.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
27.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
27.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
27.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
25.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
23.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
23.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
23.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
23.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
22.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
22.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
21.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
21.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
21.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
21.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
20.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
20.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
20.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
20.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
20.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
20.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
19.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
19.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
19.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
19.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
19.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
18.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
18.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
18.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
17.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
17.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
17.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
17.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
17.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
17.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
16.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
16.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
16.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
15.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
15.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
15.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
15.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
15.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
15.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
15.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
14.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
14.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
14.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
13.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
13.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
13.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
13.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
12.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
12.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
12.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
12.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
12.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
12.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
12.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
12.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
11.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
11.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
10.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
10.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
10.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
10.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
10.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
10.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
9.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
9.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
8.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
8.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
8.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
7.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
7.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
6.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
5.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
FNDC3B 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
141.6
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
301.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
249.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
228.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
225.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
222.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
221.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
220.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
215.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
213.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
207.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
207.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
206.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
205.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
205.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
203.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
199.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
198.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
197.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
195.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
195.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
193.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
192.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
191.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
190.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
186.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
186.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
185.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
184.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
181.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
178.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
178.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
177.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
177.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
173.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
173.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
173.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
172.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
170.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
170.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
170.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
169.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
169.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
169.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
168.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
167.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
167.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
166.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
166.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
166.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
165.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
163.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
162.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
162.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
162.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
161.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
160.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
159.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
159.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
159.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
159.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
158.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
158.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
157.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
155.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
154.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
154.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
154.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
153.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
153.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
153.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
152.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
151.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
150.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
149.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
149.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
149.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
149.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
148.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
148.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
147.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
147.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
147.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
146.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
145.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
145.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
145.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
145.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
145.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
144.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
144.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
144.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
144.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
143.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
143.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
142.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
142.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
141.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
141.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
141.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
141.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
140.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
140.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
139.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
139.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
139.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
138.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
138.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
137.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
137.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
137.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
135.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
135.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
134.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
134.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
133.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
133.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
132.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
132.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
132.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
131.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
131.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
131.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
131.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
129.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
129.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
129.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
129.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
128.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
128.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
127.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
126.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
126.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
126.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
126.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
126.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
125.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
125.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
124.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
124.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
124.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
123.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
123.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
123.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
121.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
121.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
121.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
121.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
121.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
121.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
120.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
120.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
119.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
119.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
118.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
117.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
116.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
116.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
116.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
116.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
115.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
115.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
115.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
114.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
114.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
113.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
113.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
112.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
112.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
111.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
110.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
106.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
106.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
105.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
104.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
104.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
103.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
102.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
101.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
101.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
99.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
99.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
98.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
98.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
97.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
97.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
97.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
96.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
96.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
95.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
95.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
95.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
94.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
91.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
90.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
90.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
89.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
86.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
86.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
83.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
82.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
82.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
79.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
76.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
73.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
71.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
65.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.9
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
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Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
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Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
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Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.7
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.7
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.8
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.8
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.9
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.0
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
