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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.
EHD1 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
26.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
89.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
71.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
66.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
59.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
58.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
53.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
52.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
52.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
51.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
51.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
50.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
45.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
43.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
42.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
42.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
42.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
41.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
41.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
41.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
41.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
41.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
40.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
40.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
40.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
40.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
39.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
39.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
38.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
38.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
37.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
37.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
37.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
37.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
36.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
36.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
35.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
35.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
34.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
34.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
34.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
34.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
34.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
34.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
34.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
33.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
33.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
33.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
33.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
33.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
33.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
33.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
33.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
33.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
32.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
32.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
32.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
32.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
32.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
32.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
31.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
31.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
31.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
31.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
31.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
31.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
31.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
30.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
30.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
30.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
30.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
30.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
30.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
30.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
30.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
29.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
29.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
29.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
29.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
29.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
29.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
29.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
29.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
29.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
29.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
29.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
29.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
29.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
29.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
29.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
29.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
29.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
29.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
28.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
28.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
28.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
28.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
28.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
28.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
28.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
28.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
28.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
28.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
28.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
28.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
28.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
27.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
27.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
27.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
27.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
27.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
27.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
27.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
27.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
27.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
27.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
26.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
26.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
26.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
26.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
26.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
26.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
26.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
25.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
25.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
25.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
25.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
25.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
25.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
25.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
24.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
24.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
24.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
24.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
24.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
24.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
24.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
24.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
24.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
23.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
23.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
23.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
23.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
23.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
23.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
23.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
23.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
23.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
23.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
23.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
23.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
23.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
23.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
23.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
22.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
22.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
22.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
22.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
21.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
21.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
21.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
21.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
21.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
21.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
21.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
21.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
21.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
21.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
21.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
21.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
21.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
20.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
20.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
20.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
20.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
20.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
20.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
20.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
20.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
20.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
20.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
20.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
20.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
19.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
19.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
19.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
19.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
19.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
19.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
19.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
19.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
19.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
19.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
19.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
18.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
18.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
18.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
18.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
18.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
18.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
18.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
18.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
17.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
17.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
17.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
17.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
17.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
17.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
17.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
17.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
17.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
16.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
16.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
16.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
16.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
16.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
16.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
16.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
16.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
16.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
16.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
16.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
16.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
16.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
15.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
15.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
15.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
14.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
14.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
14.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
14.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
14.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
14.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
13.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
13.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
13.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
13.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
13.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
13.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
12.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
12.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
12.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
12.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
12.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
11.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
11.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
11.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
10.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
10.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
10.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
10.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
10.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
8.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
7.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 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.
EHD1 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
42.6
Number of samples
486
Samples
Sample
Description
TPM
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
348.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
144.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
138.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
129.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
113.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
107.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
105.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
102.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
96.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
95.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
94.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
92.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
90.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
87.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
87.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
86.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
82.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
81.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
81.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
79.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
78.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
78.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
77.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
77.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
76.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
76.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
75.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
74.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
74.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
74.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
72.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
71.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
71.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
70.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
70.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
70.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
69.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
69.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
69.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
68.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
66.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
66.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
66.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
65.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
65.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
65.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
64.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
64.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
64.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
64.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
62.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
61.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
61.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
60.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
60.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
60.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
59.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
59.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
59.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
59.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
59.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
59.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
59.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
59.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
58.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
58.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
58.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
58.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
58.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
58.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
57.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
57.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
57.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
57.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
57.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
57.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
56.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
56.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
56.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
56.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
56.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
56.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
56.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
56.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
56.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
55.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
55.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
55.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
54.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
54.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
54.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
54.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
53.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
53.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
53.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
53.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
52.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
52.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
52.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
52.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
52.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
51.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
51.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
51.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
51.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
51.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
51.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
50.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
50.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
50.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
50.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
50.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
50.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
50.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
49.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
49.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
49.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
49.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
49.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
49.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
49.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
48.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
48.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
48.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
48.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
48.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
48.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
48.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
48.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
48.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
47.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
47.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
47.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
47.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
47.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
47.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
47.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
47.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
46.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
46.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
46.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
46.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
46.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
46.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
46.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
46.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
46.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
45.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
45.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
45.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
45.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
45.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
45.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
45.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
45.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
45.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
45.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
45.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
44.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
44.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
44.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
44.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
44.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
44.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
44.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
44.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
44.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
43.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
43.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
43.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
43.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
43.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
43.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
43.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
43.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
43.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
43.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
42.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
42.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
42.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
42.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
42.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
42.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
42.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
42.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
42.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
42.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
42.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
42.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
42.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
41.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
41.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
41.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
41.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
41.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
41.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
41.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
40.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
40.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
40.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
40.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
40.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
40.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
40.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
40.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
40.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
40.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
40.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
40.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
40.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
40.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
39.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
39.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
39.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
39.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
39.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
39.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
39.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
39.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
39.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
39.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
39.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
39.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
39.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
39.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
39.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
39.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
39.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
39.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
39.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
39.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
39.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
38.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
38.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
38.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
38.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
38.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
38.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
38.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
38.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
38.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
38.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
38.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
38.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
37.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
37.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
37.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
37.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
37.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
37.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
37.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
37.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
37.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
36.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
36.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
36.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
36.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
36.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
36.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
36.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
36.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
36.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
36.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
36.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
36.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
36.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
36.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
36.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
36.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
36.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
35.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
35.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
35.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
35.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
35.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
35.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
35.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
35.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
35.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
35.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
35.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
35.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
35.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
34.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
34.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
34.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
34.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
34.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
34.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
34.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
34.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
34.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
34.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
34.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
34.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
34.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
34.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
34.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
34.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
34.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
34.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
34.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
34.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
34.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
34.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
34.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
34.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
34.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
33.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
33.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
33.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
33.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
33.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
33.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
33.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
33.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
33.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
33.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
33.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
32.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
32.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
32.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
32.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
32.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
32.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
32.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
32.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
32.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
32.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
32.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
32.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
32.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
32.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
32.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
31.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
31.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
31.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
31.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
31.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
31.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
31.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
31.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
31.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
31.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
31.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
31.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
31.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
31.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
31.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
31.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
31.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
31.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
31.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
31.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
31.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
31.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
31.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
31.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
31.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
30.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
30.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
30.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
30.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
30.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
30.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
30.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
30.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
30.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
30.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
30.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
30.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
30.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
30.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
30.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
30.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
30.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
30.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
30.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
30.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
30.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
29.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
29.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
29.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
29.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
29.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
29.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
29.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
29.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
29.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
28.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
28.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
28.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
28.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
28.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
28.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
28.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
28.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
28.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
28.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
28.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
28.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
27.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
27.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
27.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
27.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
27.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
27.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
27.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
27.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
27.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
27.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
26.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
26.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
26.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
26.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
26.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
26.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
26.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
26.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
26.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
26.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
25.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
25.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
25.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
25.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
25.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
25.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
25.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
25.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
25.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
25.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
25.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
25.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
25.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
25.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
25.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
25.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
25.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
24.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
24.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
24.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
24.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
23.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
23.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
23.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
23.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
23.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
23.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
23.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
23.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
23.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
23.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
22.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
22.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
22.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
22.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
22.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
22.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
21.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
21.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
21.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
21.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
21.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
20.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
20.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
20.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
20.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
19.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
19.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
19.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
19.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
19.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
18.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
18.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
18.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
17.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
17.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
17.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
17.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
17.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.5
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.
EHD1 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
24.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
76.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
49.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
48.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
40.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
38.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
36.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
35.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
35.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
35.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
34.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
34.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
33.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
33.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
32.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
32.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
32.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
31.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
31.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
31.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
31.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
30.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
29.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
29.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
29.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
29.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
29.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
28.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
28.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
28.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
28.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
28.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
27.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
26.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
26.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
26.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
25.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
25.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
25.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
25.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
24.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
24.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
24.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
24.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
23.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
23.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
23.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
23.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
23.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
22.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
22.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
22.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
22.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
22.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
22.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
21.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
21.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
21.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
21.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
20.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
20.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
20.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
19.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
19.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
18.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
18.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
18.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
17.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
17.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
16.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
16.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
15.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
15.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
15.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
15.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
15.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
14.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
14.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
13.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
13.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
12.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
12.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
12.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
12.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
11.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
11.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
10.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
10.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EHD1 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
39.4
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
142.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
116.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
112.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
93.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
89.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
70.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
66.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
65.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
65.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
62.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
61.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
61.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
59.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
58.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
57.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
57.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
56.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
56.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
55.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
55.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
54.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
54.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
54.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
54.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
52.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
52.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
52.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
52.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
51.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
51.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
49.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
49.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
49.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
48.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
48.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
48.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
47.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
47.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
47.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
47.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
47.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
47.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
46.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
46.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
46.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
46.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
46.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
46.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
45.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
45.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
45.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
45.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
45.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
45.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
44.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
43.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
43.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
43.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
43.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
43.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
42.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
42.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
42.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
42.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
42.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
41.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
41.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
41.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
41.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
41.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
41.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
41.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
41.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
40.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
40.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
40.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
40.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
40.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
40.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
39.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
39.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
39.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
39.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
39.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
39.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
39.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
39.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
39.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
39.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
39.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
38.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
38.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
38.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
38.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
38.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
38.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
38.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
37.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
37.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
37.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
37.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
37.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
36.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
36.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
36.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
36.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
36.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
36.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
36.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
36.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
36.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
36.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
36.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
36.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
35.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
35.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
35.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
35.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
35.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
35.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
34.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
34.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
34.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
34.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
34.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
34.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
34.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
34.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
34.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
33.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
33.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
33.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
33.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
33.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
33.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
32.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
32.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
32.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
32.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
32.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
32.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
31.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
31.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
31.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
31.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
31.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
30.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
30.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
30.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
30.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
30.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
30.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
30.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
29.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
29.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
29.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
29.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
29.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
29.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
28.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
28.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
28.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
28.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
28.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
28.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
28.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
28.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
28.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
28.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
28.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
27.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
27.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
27.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
27.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
27.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
26.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
26.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
26.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
26.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
26.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
26.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
25.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
25.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
25.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
25.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
25.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
25.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
24.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
23.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
23.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
22.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
22.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
22.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
22.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
21.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
21.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
20.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
20.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
20.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
20.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
19.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
19.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
17.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
16.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
1.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
1.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.9
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.9
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.9
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.9
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.9
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.8
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.8
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.8
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.8
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.8
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.8
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.8
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.7
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.7
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.7
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
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Normal
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
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Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
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Tumor
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
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Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
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
