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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.
SEC24D 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
20.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
98.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
57.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
52.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
51.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
50.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
50.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
48.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
47.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
47.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
46.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
44.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
43.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
42.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
42.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
41.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
39.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
39.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
37.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
37.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
36.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
36.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
35.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
35.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
35.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
35.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
35.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
34.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
34.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
34.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
34.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
33.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
33.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
32.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
32.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
32.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
32.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
32.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
32.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
32.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
32.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
32.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
30.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
30.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
30.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
29.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
28.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
28.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
28.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
28.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
28.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
28.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
28.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
28.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
27.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
27.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
27.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
27.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
27.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
27.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
27.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
27.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
27.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
27.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
27.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
27.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
26.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
26.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
26.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
26.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
26.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
25.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
25.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
25.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
25.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
25.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
24.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
24.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
24.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
24.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
24.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
23.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
23.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
23.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
23.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
23.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
23.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
23.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
23.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
23.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
23.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
23.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
23.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
22.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
22.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
22.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
22.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
22.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
22.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
22.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
21.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
21.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
21.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
21.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
21.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
21.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
21.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
21.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
21.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
20.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
20.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
20.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
20.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
20.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
20.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
20.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
19.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
19.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
19.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
19.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
19.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
19.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
19.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
19.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
19.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
18.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
18.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
18.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
18.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
18.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
18.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
18.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
18.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
17.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
17.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
17.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
17.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
17.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
17.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
17.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
17.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
17.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
17.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
17.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
17.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
17.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
17.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
17.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
17.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
17.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
16.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
16.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
16.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
16.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
16.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
16.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
16.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
16.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
16.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
16.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
16.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
16.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
16.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
15.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
15.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
15.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
15.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
15.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
15.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
15.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
15.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
15.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
15.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
15.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
14.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
14.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
14.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
14.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
14.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
14.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
14.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
14.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
14.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
13.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
13.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
13.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
13.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
13.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
12.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
12.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
12.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
12.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
12.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
12.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
12.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
12.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
12.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
12.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
11.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
11.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
11.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
11.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
11.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
11.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
11.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
11.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
11.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
10.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
10.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
10.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
10.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
10.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
10.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
10.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
10.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
10.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
9.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
9.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
9.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
9.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
9.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
9.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
9.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
9.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
9.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
9.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
9.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
9.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
9.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
8.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
8.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
8.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
8.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
8.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
7.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
7.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
7.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
7.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
6.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
6.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
6.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
6.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
6.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
6.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
5.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
5.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
5.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
5.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
5.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
5.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
4.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
4.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
4.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 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.
SEC24D 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
55.5
Number of samples
486
Samples
Sample
Description
TPM
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
156.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
149.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
145.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
134.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
129.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
123.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
122.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
118.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
113.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
112.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
111.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
110.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
109.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
109.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
109.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
109.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
107.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
105.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
105.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
104.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
104.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
103.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
102.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
102.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
100.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
100.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
99.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
96.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
96.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
96.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
96.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
95.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
93.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
92.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
92.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
92.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
91.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
91.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
90.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
90.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
90.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
88.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
88.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
88.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
88.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
87.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
87.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
86.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
86.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
85.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
85.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
84.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
84.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
83.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
83.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
83.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
83.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
82.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
82.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
82.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
81.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
81.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
81.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
81.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
80.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
80.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
80.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
79.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
79.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
79.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
79.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
79.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
79.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
79.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
79.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
78.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
78.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
78.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
78.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
78.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
77.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
77.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
77.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
77.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
76.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
76.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
74.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
74.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
74.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
74.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
73.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
73.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
73.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
73.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
73.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
72.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
72.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
72.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
71.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
71.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
71.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
71.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
71.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
71.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
70.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
70.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
70.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
69.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
69.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
69.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
68.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
68.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
68.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
68.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
68.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
68.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
67.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
67.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
67.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
66.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
66.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
66.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
66.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
65.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
65.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
65.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
65.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
65.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
65.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
64.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
64.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
64.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
64.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
64.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
64.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
64.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
64.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
63.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
63.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
63.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
63.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
63.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
63.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
63.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
63.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
63.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
62.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
62.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
62.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
61.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
61.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
61.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
60.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
60.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
60.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
60.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
60.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
60.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
59.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
59.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
59.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
59.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
59.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
59.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
59.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
58.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
58.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
58.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
58.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
58.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
58.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
58.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
58.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
58.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
57.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
57.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
57.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
57.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
57.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
57.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
57.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
57.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
57.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
57.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
56.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
56.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
56.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
56.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
56.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
56.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
56.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
56.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
55.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
55.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
55.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
55.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
55.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
55.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
54.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
54.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
54.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
54.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
54.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
54.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
54.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
54.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
54.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
53.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
53.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
53.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
53.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
53.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
53.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
53.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
53.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
53.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
53.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
53.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
53.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
53.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
52.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
52.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
52.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
52.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
52.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
52.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
52.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
52.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
52.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
51.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
51.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
51.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
51.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
51.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
51.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
51.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
51.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
51.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
51.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
51.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
51.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
50.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
50.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
50.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
50.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
50.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
50.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
50.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
50.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
50.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
50.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
50.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
49.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
49.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
49.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
49.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
49.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
49.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
49.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
49.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
49.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
48.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
48.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
48.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
48.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
48.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
48.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
48.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
48.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
48.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
48.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
47.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
47.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
47.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
47.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
47.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
47.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
47.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
47.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
47.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
47.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
47.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
47.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
46.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
46.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
46.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
46.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
46.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
46.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
46.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
46.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
46.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
46.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
46.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
46.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
45.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
45.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
45.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
45.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
45.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
45.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
45.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
45.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
45.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
45.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
45.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
45.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
45.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
45.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
44.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
44.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
44.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
44.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
44.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
44.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
44.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
44.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
44.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
44.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
44.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
44.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
44.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
44.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
44.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
44.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
44.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
44.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
43.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
43.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
43.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
43.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
43.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
43.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
43.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
42.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
42.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
42.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
42.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
42.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
42.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
42.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
41.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
41.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
41.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
41.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
41.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
41.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
41.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
41.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
41.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
41.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
40.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
40.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
40.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
40.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
40.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
40.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
40.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
40.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
39.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
39.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
39.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
39.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
39.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
39.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
39.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
38.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
38.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
38.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
38.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
38.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
38.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
38.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
38.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
38.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
38.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
38.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
37.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
37.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
37.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
37.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
37.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
37.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
37.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
37.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
37.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
37.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
37.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
37.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
36.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
36.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
36.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
36.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
36.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
36.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
36.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
36.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
36.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
36.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
36.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
36.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
36.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
36.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
35.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
35.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
35.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
35.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
35.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
35.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
35.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
35.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
35.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
34.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
34.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
34.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
34.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
34.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
34.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
34.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
34.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
34.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
33.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
33.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
32.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
32.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
32.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
31.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
31.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
31.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
31.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
31.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
31.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
31.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
31.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
31.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
30.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
30.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
30.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
30.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
30.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
30.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
30.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
29.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
29.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
29.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
29.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
29.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
29.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
28.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
28.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
28.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
28.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
27.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
27.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
27.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
27.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
27.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
27.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
27.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
27.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
27.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
27.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
27.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
27.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
27.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
26.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
26.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
26.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
26.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
26.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
25.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
25.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
25.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
23.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
23.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
23.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
23.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
22.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
22.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
22.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
19.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
14.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.2
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.
SEC24D is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
19.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
86.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
46.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
41.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
39.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
37.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
34.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
33.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
33.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
30.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
30.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
28.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
28.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
28.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
27.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
27.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
26.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
24.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
24.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
23.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
23.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
23.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
22.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
22.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
22.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
22.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
22.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
22.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
22.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
21.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
21.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
21.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
19.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
19.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
19.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
19.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
19.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
18.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
18.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
18.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
18.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
18.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
18.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
17.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
17.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
17.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
17.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
17.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
16.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
16.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
16.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
16.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
16.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
16.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
15.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
15.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
14.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
14.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
14.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
14.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
13.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
13.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
12.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
12.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
12.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
12.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
12.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
12.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
12.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
12.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
11.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
11.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
11.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
10.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
10.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
10.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
10.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
9.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
9.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
8.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
7.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
7.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
7.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
6.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
4.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
4.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SEC24D 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
51.5
Number of samples
207
Samples
Sample
Description
TPM
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
127.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
117.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
108.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
102.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
101.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
98.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
94.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
93.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
92.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
88.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
79.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
76.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
76.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
75.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
75.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
75.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
75.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
74.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
74.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
74.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
74.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
73.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
73.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
73.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
73.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
71.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
71.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
68.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
67.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
67.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
67.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
66.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
66.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
65.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
64.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
64.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
64.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
63.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
63.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
62.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
61.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
61.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
61.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
60.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
60.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
60.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
60.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
59.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
59.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
59.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
59.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
59.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
59.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
58.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
58.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
58.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
57.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
57.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
57.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
57.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
57.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
57.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
56.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
56.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
56.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
56.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
56.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
56.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
55.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
55.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
55.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
55.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
55.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
54.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
54.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
54.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
53.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
53.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
53.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
53.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
53.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
52.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
52.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
52.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
52.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
51.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
51.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
51.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
51.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
50.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
50.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
50.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
50.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
50.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
50.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
49.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
49.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
49.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
49.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
49.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
49.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
48.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
48.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
48.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
48.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
48.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
48.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
48.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
48.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
48.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
48.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
47.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
47.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
47.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
47.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
47.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
47.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
46.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
46.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
46.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
45.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
45.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
45.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
45.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
44.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
44.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
44.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
44.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
44.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
44.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
43.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
43.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
43.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
43.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
43.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
43.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
42.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
42.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
42.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
42.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
42.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
42.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
42.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
42.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
42.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
41.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
41.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
41.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
41.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
41.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
41.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
40.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
40.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
40.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
40.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
40.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
40.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
40.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
40.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
40.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
39.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
39.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
39.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
39.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
38.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
38.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
37.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
37.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
37.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
37.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
37.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
36.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
36.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
36.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
36.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
36.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
36.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
36.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
35.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
35.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
35.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
35.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
35.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
35.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
35.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
35.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
34.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
34.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
34.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
33.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
33.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
33.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
31.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
31.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
29.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
29.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
29.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
28.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
28.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
28.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
26.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
26.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
25.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
24.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
22.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
20.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
1.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
1.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.9
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.8
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.7
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.6
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
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Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Normal
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Normal
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
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Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.8
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.