We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
ETF1 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
43.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
121.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
79.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
78.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
73.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
72.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
70.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
69.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
66.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
66.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
66.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
65.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
65.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
65.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
64.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
64.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
64.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
63.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
63.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
63.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
63.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
63.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
62.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
60.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
60.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
59.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
59.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
59.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
58.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
58.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
57.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
57.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
57.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
57.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
57.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
57.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
57.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
56.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
56.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
56.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
55.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
55.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
55.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
55.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
54.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
54.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
54.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
54.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
54.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
53.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
53.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
52.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
52.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
51.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
51.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
51.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
51.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
51.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
51.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
51.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
50.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
50.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
50.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
50.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
50.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
49.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
49.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
49.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
49.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
49.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
49.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
49.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
49.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
48.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
48.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
48.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
48.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
48.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
48.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
47.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
47.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
47.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
47.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
47.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
47.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
47.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
47.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
47.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
47.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
46.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
46.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
46.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
46.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
46.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
46.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
46.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
46.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
45.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
45.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
45.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
45.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
45.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
45.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
45.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
45.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
44.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
44.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
44.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
44.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
44.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
44.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
44.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
44.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
44.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
44.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
43.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
43.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
43.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
43.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
43.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
43.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
42.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
42.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
42.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
42.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
42.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
41.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
41.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
41.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
41.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
41.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
41.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
41.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
41.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
41.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
41.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
40.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
40.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
40.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
40.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
40.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
40.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
39.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
39.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
39.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
38.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
38.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
38.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
38.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
38.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
38.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
38.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
38.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
37.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
37.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
37.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
37.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
37.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
37.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
37.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
37.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
37.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
37.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
37.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
37.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
37.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
37.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
37.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
36.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
36.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
36.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
36.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
36.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
36.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
36.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
36.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
36.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
36.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
36.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
35.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
35.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
35.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
35.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
35.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
35.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
35.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
35.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
35.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
35.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
35.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
34.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
34.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
34.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
34.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
34.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
34.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
34.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
34.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
34.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
34.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
33.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
33.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
33.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
33.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
33.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
33.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
33.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
33.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
33.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
32.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
32.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
32.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
32.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
32.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
32.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
32.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
32.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
32.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
31.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
31.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
31.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
31.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
31.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
31.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
31.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
31.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
30.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
30.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
30.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
30.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
30.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
30.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
29.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
29.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
29.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
29.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
28.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
27.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
27.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
27.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
27.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
27.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
27.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
27.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
27.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
27.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
25.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
25.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
25.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
25.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
25.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
23.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
23.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
21.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
ETF1 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
79.0
Number of samples
486
Samples
Sample
Description
TPM
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
206.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
201.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
137.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
133.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
126.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
125.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
123.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
121.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
120.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
119.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
117.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
116.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
116.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
116.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
115.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
115.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
114.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
113.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
112.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
112.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
109.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
108.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
108.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
108.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
108.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
108.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
107.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
107.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
107.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
107.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
106.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
106.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
106.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
106.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
106.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
105.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
105.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
105.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
104.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
104.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
103.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
103.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
103.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
103.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
103.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
102.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
102.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
102.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
102.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
102.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
102.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
102.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
101.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
101.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
101.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
101.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
101.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
101.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
101.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
101.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
101.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
100.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
100.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
100.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
100.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
100.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
99.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
99.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
99.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
99.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
99.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
98.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
98.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
98.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
97.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
97.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
97.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
97.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
97.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
97.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
97.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
97.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
96.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
96.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
96.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
96.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
96.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
96.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
95.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
95.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
95.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
95.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
95.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
95.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
94.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
94.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
94.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
94.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
94.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
94.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
94.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
94.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
93.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
93.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
93.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
93.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
93.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
93.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
92.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
92.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
91.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
91.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
91.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
91.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
91.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
91.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
91.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
91.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
91.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
91.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
90.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
90.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
90.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
90.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
90.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
90.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
90.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
90.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
89.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
89.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
89.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
89.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
89.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
89.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
89.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
89.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
89.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
89.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
89.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
89.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
89.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
88.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
88.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
88.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
88.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
88.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
88.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
88.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
88.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
88.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
88.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
87.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
87.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
87.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
87.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
87.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
87.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
87.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
87.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
87.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
87.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
87.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
87.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
87.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
86.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
86.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
86.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
86.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
86.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
86.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
86.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
86.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
86.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
86.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
86.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
86.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
86.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
86.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
85.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
85.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
85.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
85.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
85.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
85.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
85.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
85.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
85.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
85.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
85.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
84.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
84.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
84.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
84.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
84.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
84.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
84.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
84.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
83.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
83.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
83.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
83.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
83.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
83.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
83.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
83.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
83.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
82.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
82.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
82.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
82.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
82.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
82.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
82.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
82.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
81.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
81.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
81.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
81.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
81.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
81.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
81.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
81.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
81.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
81.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
81.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
80.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
80.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
80.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
80.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
80.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
80.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
79.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
79.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
79.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
79.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
79.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
79.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
79.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
79.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
79.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
79.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
79.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
78.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
78.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
78.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
78.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
77.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
77.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
77.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
77.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
77.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
77.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
77.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
77.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
77.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
77.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
77.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
77.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
77.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
76.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
76.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
76.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
76.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
76.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
76.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
76.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
76.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
76.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
76.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
75.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
75.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
75.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
75.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
75.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
75.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
75.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
75.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
74.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
74.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
74.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
74.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
74.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
74.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
74.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
74.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
74.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
74.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
74.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
73.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
73.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
73.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
73.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
73.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
73.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
73.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
72.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
72.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
72.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
72.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
72.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
72.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
72.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
72.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
72.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
72.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
72.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
71.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
71.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
71.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
71.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
71.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
71.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
71.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
70.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
70.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
70.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
70.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
70.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
70.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
70.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
70.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
70.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
69.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
69.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
69.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
69.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
69.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
69.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
69.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
69.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
68.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
68.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
68.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
68.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
68.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
68.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
68.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
68.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
68.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
67.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
67.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
67.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
67.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
67.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
67.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
66.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
66.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
66.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
66.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
66.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
66.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
66.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
66.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
66.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
66.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
66.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
66.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
65.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
65.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
65.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
65.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
65.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
65.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
65.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
65.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
65.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
64.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
64.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
64.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
64.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
64.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
64.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
64.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
64.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
64.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
63.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
63.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
63.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
63.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
63.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
63.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
63.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
63.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
63.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
63.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
63.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
62.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
62.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
62.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
62.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
62.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
62.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
62.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
61.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
61.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
61.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
61.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
61.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
61.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
61.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
60.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
60.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
60.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
60.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
59.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
59.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
59.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
59.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
59.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
59.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
59.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
59.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
59.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
59.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
59.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
58.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
58.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
58.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
58.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
57.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
57.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
57.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
57.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
57.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
57.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
57.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
57.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
57.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
56.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
56.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
56.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
56.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
56.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
56.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
56.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
55.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
55.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
55.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
55.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
55.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
54.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
54.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
54.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
54.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
53.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
53.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
53.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
52.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
52.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
51.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
51.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
51.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
51.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
51.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
51.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
51.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
51.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
50.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
50.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
50.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
50.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
49.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
49.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
49.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
49.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
48.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
48.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
48.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
47.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
47.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
47.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
47.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
45.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
45.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
45.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
44.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
44.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
44.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
44.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
43.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
43.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
43.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
42.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
35.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.9
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.
ETF1 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
43.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
87.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
79.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
76.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
72.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
68.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
67.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
65.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
64.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
64.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
62.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
62.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
61.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
60.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
59.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
57.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
57.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
57.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
57.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
55.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
55.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
54.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
53.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
53.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
51.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
51.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
51.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
50.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
50.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
50.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
49.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
49.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
49.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
48.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
47.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
46.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
46.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
45.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
45.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
45.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
44.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
43.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
42.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
41.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
41.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
41.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
40.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
40.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
40.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
40.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
40.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
40.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
39.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
39.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
39.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
39.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
38.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
38.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
37.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
37.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
37.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
37.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
36.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
36.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
36.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
34.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
32.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
32.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
31.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
31.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
31.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
31.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
31.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
30.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
29.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
27.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
27.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
26.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
25.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
23.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
21.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
21.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
21.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
20.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
14.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
14.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
12.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
10.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ETF1 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
71.8
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
130.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
128.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
122.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
114.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
109.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
108.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
107.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
107.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
106.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
106.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
105.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
103.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
103.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
102.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
102.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
102.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
101.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
101.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
97.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
97.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
97.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
96.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
96.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
95.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
94.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
92.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
92.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
91.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
91.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
91.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
89.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
89.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
89.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
89.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
88.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
88.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
87.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
86.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
86.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
85.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
85.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
85.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
85.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
84.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
84.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
84.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
83.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
83.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
83.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
82.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
82.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
82.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
82.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
82.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
82.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
82.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
81.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
81.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
81.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
81.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
81.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
80.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
80.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
80.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
80.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
80.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
79.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
79.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
79.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
79.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
79.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
79.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
78.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
78.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
78.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
78.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
77.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
77.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
77.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
77.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
76.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
76.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
76.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
76.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
76.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
76.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
76.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
75.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
75.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
75.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
74.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
74.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
74.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
74.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
73.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
73.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
73.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
72.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
72.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
72.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
71.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
70.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
70.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
70.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
69.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
69.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
69.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
69.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
69.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
68.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
68.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
67.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
67.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
67.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
67.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
66.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
66.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
66.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
66.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
66.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
65.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
65.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
65.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
65.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
64.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
64.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
64.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
64.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
64.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
64.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
64.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
63.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
63.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
63.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
63.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
62.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
62.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
62.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
62.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
62.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
62.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
62.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
61.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
61.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
61.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
61.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
61.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
61.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
60.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
60.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
60.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
60.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
59.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
58.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
58.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
58.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
58.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
57.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
57.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
57.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
57.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
56.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
56.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
56.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
56.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
55.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
55.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
54.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
54.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
54.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
54.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
54.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
54.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
54.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
53.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
53.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
53.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
53.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
53.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
52.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
52.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
52.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
52.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
51.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
50.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
49.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
49.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
49.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
49.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
48.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
48.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
48.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
47.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
47.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
46.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
46.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
45.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
44.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
42.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
42.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
42.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
41.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
41.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
40.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
37.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
35.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.9
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
