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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.
ATG3 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
42.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
101.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
91.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
74.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
70.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
67.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
67.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
66.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
65.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
64.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
63.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
62.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
60.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
60.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
60.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
59.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
58.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
58.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
58.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
57.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
57.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
57.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
56.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
56.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
56.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
56.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
56.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
56.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
55.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
55.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
55.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
55.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
54.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
54.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
53.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
53.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
53.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
53.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
52.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
52.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
52.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
52.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
52.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
51.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
51.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
51.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
51.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
51.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
50.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
50.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
50.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
50.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
50.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
50.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
50.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
49.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
49.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
49.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
49.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
49.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
49.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
48.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
48.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
48.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
48.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
48.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
48.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
48.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
48.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
48.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
47.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
47.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
47.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
47.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
47.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
47.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
47.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
47.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
47.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
46.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
46.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
46.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
46.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
46.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
46.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
46.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
45.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
45.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
45.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
45.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
45.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
45.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
44.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
44.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
44.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
44.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
44.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
44.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
44.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
44.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
44.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
44.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
43.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
43.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
43.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
43.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
43.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
43.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
43.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
43.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
43.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
43.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
42.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
42.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
42.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
42.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
42.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
42.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
42.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
42.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
42.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
42.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
42.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
42.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
42.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
42.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
42.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
42.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
41.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
41.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
41.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
41.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
41.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
41.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
41.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
41.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
41.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
41.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
41.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
41.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
41.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
40.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
40.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
40.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
40.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
40.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
39.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
39.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
39.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
39.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
39.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
39.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
39.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
39.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
39.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
39.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
39.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
38.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
38.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
38.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
38.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
38.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
38.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
38.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
38.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
38.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
38.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
38.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
37.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
37.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
37.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
37.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
37.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
37.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
36.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
36.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
36.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
36.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
36.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
36.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
36.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
36.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
36.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
35.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
35.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
35.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
35.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
35.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
35.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
35.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
35.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
35.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
35.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
35.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
35.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
35.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
35.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
35.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
35.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
34.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
34.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
34.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
34.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
34.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
34.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
34.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
34.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
34.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
34.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
33.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
33.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
33.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
33.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
33.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
33.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
33.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
33.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
33.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
33.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
32.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
32.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
32.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
32.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
32.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
32.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
31.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
31.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
31.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
31.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
30.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
30.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
30.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
29.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
29.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
29.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
29.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
29.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
29.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
29.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
28.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
28.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
28.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
28.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
28.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
27.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
27.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
26.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
26.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
25.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
25.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
25.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
25.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
24.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
22.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 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.
ATG3 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
41.0
Number of samples
486
Samples
Sample
Description
TPM
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
94.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
80.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
77.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
71.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
70.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
69.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
66.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
66.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
66.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
65.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
65.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
64.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
64.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
63.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
62.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
61.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
61.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
61.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
60.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
60.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
58.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
58.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
58.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
58.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
57.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
57.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
56.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
56.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
56.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
56.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
55.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
55.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
55.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
55.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
55.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
55.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
55.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
55.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
54.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
54.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
54.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
53.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
53.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
53.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
53.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
53.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
52.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
52.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
52.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
52.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
52.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
52.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
52.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
52.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
52.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
51.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
51.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
51.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
51.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
51.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
51.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
51.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
51.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
50.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
50.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
50.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
50.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
50.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
50.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
50.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
50.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
50.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
50.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
50.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
49.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
49.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
49.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
49.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
49.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
49.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
49.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
49.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
49.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
49.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
48.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
48.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
48.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
48.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
48.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
48.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
48.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
48.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
48.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
48.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
48.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
47.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
47.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
47.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
47.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
47.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
47.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
47.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
47.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
47.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
47.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
47.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
47.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
47.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
47.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
47.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
47.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
47.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
47.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
47.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
47.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
46.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
46.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
46.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
46.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
46.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
46.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
46.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
46.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
46.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
46.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
46.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
46.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
46.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
46.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
46.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
46.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
46.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
46.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
45.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
45.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
45.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
45.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
45.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
45.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
45.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
45.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
45.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
45.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
45.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
45.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
44.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
44.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
44.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
44.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
44.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
44.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
44.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
44.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
44.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
44.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
44.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
44.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
44.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
44.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
44.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
44.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
44.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
43.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
43.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
43.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
43.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
43.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
43.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
43.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
43.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
43.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
43.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
43.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
43.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
43.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
43.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
43.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
43.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
43.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
43.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
43.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
43.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
43.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
43.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
43.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
42.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
42.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
42.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
42.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
42.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
42.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
42.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
42.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
42.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
42.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
42.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
42.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
42.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
42.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
42.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
42.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
42.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
42.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
42.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
42.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
42.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
41.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
41.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
41.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
41.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
41.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
41.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
41.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
41.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
41.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
41.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
41.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
41.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
41.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
41.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
41.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
41.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
40.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
40.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
40.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
40.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
40.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
40.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
40.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
40.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
40.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
40.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
40.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
40.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
40.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
40.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
40.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
40.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
40.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
40.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
40.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
40.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
40.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
40.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
40.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
40.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
40.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
40.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
40.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
40.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
40.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
40.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
40.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
39.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
39.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
39.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
39.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
39.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
39.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
39.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
39.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
39.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
39.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
39.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
39.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
39.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
39.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
39.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
39.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
39.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
39.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
39.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
39.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
39.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
38.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
38.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
38.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
38.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
38.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
38.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
38.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
38.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
38.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
38.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
38.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
38.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
38.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
38.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
38.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
38.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
38.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
38.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
38.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
38.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
37.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
37.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
37.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
37.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
37.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
37.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
37.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
37.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
37.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
37.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
37.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
37.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
37.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
37.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
37.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
37.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
37.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
37.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
37.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
37.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
37.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
37.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
37.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
37.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
37.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
36.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
36.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
36.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
36.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
36.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
36.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
36.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
36.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
36.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
36.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
36.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
36.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
36.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
36.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
36.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
36.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
36.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
36.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
36.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
35.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
35.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
35.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
35.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
35.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
35.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
35.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
35.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
35.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
35.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
35.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
35.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
35.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
35.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
35.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
35.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
35.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
34.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
34.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
34.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
34.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
34.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
34.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
34.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
34.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
34.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
34.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
34.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
34.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
34.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
34.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
34.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
34.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
34.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
34.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
34.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
34.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
33.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
33.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
33.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
33.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
33.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
33.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
33.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
33.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
33.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
33.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
33.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
33.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
33.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
33.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
33.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
33.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
33.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
33.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
33.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
33.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
33.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
32.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
32.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
32.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
32.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
32.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
32.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
32.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
32.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
32.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
32.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
32.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
32.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
32.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
32.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
32.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
32.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
32.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
31.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
31.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
31.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
31.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
31.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
31.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
31.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
31.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
31.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
30.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
30.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
30.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
30.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
30.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
30.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
30.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
30.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
30.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
30.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
30.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
30.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
30.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
30.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
30.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
29.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
29.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
29.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
29.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
29.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
29.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
29.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
29.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
29.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
29.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
29.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
29.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
29.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
29.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
29.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
28.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
28.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
28.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
28.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
27.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
27.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
27.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
26.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
26.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
26.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
26.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
26.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
25.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
25.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
24.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
24.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
24.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
24.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
23.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
22.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
22.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
20.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
19.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
17.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
15.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.2
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.
ATG3 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
45.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
82.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
77.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
74.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
72.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
69.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
69.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
69.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
67.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
66.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
66.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
62.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
62.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
61.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
61.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
60.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
57.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
56.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
56.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
55.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
54.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
54.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
54.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
53.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
52.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
52.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
51.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
51.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
51.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
51.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
51.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
51.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
50.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
50.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
50.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
49.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
49.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
49.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
49.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
45.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
45.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
45.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
45.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
45.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
44.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
43.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
43.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
42.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
42.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
42.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
42.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
42.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
42.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
42.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
41.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
40.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
40.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
40.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
39.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
39.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
38.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
37.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
37.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
37.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
37.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
37.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
36.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
35.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
35.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
35.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
34.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
34.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
34.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
34.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
33.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
33.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
32.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
32.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
30.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
30.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
29.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
27.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
27.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
25.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
22.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
21.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
17.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
10.9
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.
ATG3 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
41.3
Number of samples
207
Samples
Sample
Description
TPM
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
105.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
80.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
74.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
64.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
63.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
62.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
62.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
62.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
60.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
59.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
59.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
57.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
57.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
57.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
56.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
56.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
56.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
56.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
56.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
56.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
55.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
55.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
54.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
54.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
53.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
53.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
53.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
52.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
52.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
52.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
51.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
51.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
50.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
50.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
50.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
50.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
50.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
49.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
49.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
49.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
48.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
48.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
48.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
48.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
48.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
48.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
47.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
47.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
47.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
47.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
47.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
46.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
46.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
46.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
46.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
46.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
46.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
45.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
45.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
45.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
45.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
45.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
44.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
44.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
44.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
44.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
44.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
44.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
43.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
43.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
43.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
43.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
43.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
43.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
43.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
42.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
42.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
42.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
42.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
42.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
42.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
42.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
42.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
42.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
42.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
41.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
41.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
41.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
41.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
41.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
41.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
41.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
41.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
41.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
41.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
41.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
40.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
40.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
40.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
40.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
40.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
40.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
40.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
40.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
40.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
40.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
39.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
39.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
39.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
39.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
39.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
39.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
39.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
39.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
38.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
38.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
38.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
38.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
38.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
38.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
38.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
38.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
38.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
38.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
37.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
37.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
37.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
37.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
37.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
37.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
37.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
37.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
37.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
37.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
37.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
37.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
36.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
36.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
36.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
36.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
36.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
36.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
36.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
36.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
36.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
36.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
35.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
35.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
35.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
35.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
35.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
35.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
35.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
34.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
34.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
34.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
34.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
33.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
33.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
33.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
33.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
32.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
32.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
32.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
32.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
32.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
32.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
32.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
31.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
31.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
31.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
31.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
31.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
31.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
31.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
30.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
30.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
30.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
30.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
30.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
30.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
29.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
29.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
29.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
29.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
29.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
29.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
28.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
28.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
28.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
27.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
27.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
27.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
27.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
27.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
26.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
26.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
26.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
25.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
25.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
23.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
22.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
17.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
2.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
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Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
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Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
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Tumor
0.1
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Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
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Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.6
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.