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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PEF1 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
48.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
92.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
90.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
77.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
76.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
73.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
72.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
71.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
70.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
69.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
69.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
68.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
68.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
68.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
67.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
67.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
66.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
65.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
65.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
65.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
64.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
64.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
64.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
63.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
63.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
63.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
62.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
62.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
62.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
62.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
62.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
62.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
62.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
62.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
62.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
62.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
61.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
61.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
61.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
61.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
60.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
60.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
60.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
60.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
59.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
59.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
59.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
59.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
59.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
59.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
59.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
59.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
58.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
58.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
58.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
58.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
58.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
57.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
57.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
57.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
57.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
56.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
56.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
55.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
55.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
55.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
55.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
55.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
55.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
54.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
54.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
54.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
54.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
54.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
54.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
54.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
53.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
53.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
53.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
53.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
53.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
53.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
53.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
53.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
53.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
53.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
53.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
53.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
52.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
52.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
52.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
52.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
52.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
52.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
52.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
52.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
52.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
52.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
51.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
51.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
51.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
51.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
51.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
51.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
51.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
50.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
50.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
50.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
50.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
50.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
50.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
50.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
49.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
49.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
49.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
49.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
49.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
49.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
49.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
49.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
49.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
48.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
48.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
48.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
48.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
48.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
48.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
48.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
48.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
48.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
48.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
48.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
47.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
47.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
47.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
47.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
47.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
47.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
47.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
47.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
47.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
47.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
47.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
47.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
47.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
46.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
46.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
46.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
46.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
46.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
46.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
46.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
46.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
46.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
46.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
45.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
45.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
45.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
45.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
45.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
45.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
44.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
44.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
44.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
44.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
44.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
44.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
44.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
44.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
43.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
43.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
43.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
43.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
43.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
43.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
43.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
43.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
43.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
42.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
42.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
42.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
42.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
42.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
42.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
42.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
42.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
41.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
41.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
41.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
41.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
41.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
41.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
40.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
40.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
40.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
40.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
40.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
40.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
40.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
40.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
40.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
40.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
40.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
40.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
39.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
39.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
39.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
39.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
39.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
39.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
39.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
39.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
38.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
38.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
38.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
38.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
38.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
37.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
37.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
36.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
36.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
36.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
35.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
35.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
35.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
35.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
35.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
34.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
34.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
34.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
33.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
33.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
33.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
33.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
32.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
32.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
32.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
32.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
31.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
30.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
30.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
30.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
30.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
29.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
29.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
29.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
29.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
29.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
28.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
27.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
27.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
27.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
25.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
24.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 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.
PEF1 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
32.2
Number of samples
486
Samples
Sample
Description
TPM
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
69.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
53.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
50.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
48.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
48.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
48.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
48.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
48.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
47.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
47.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
46.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
46.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
46.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
45.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
45.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
45.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
45.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
45.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
45.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
44.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
44.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
44.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
44.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
44.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
44.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
44.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
43.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
43.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
43.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
43.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
43.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
43.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
43.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
43.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
43.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
43.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
43.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
42.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
42.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
42.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
42.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
42.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
42.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
42.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
42.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
42.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
42.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
42.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
42.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
41.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
41.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
41.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
41.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
41.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
40.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
40.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
40.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
40.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
40.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
40.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
40.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
40.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
40.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
40.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
40.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
40.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
40.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
40.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
39.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
39.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
39.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
39.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
39.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
39.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
39.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
39.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
39.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
39.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
39.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
39.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
39.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
39.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
39.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
38.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
38.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
38.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
38.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
38.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
38.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
38.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
38.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
38.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
38.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
38.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
38.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
37.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
37.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
37.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
37.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
37.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
37.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
37.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
37.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
37.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
37.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
37.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
37.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
37.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
37.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
37.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
37.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
37.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
37.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
37.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
37.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
37.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
36.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
36.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
36.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
36.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
36.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
36.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
36.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
36.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
36.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
36.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
36.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
36.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
36.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
36.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
36.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
36.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
36.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
36.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
36.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
36.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
36.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
35.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
35.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
35.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
35.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
35.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
35.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
35.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
35.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
35.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
35.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
35.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
35.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
35.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
35.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
35.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
35.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
35.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
35.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
35.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
35.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
35.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
35.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
35.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
34.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
34.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
34.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
34.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
34.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
34.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
34.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
34.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
34.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
34.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
34.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
34.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
34.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
34.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
34.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
34.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
34.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
34.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
34.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
34.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
34.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
34.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
34.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
34.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
34.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
34.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
34.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
34.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
33.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
33.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
33.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
33.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
33.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
33.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
33.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
33.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
33.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
33.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
33.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
33.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
33.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
33.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
33.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
33.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
33.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
33.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
33.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
33.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
33.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
33.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
33.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
33.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
33.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
33.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
33.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
33.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
32.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
32.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
32.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
32.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
32.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
32.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
32.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
32.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
32.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
32.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
32.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
32.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
32.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
32.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
32.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
32.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
32.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
32.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
32.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
32.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
32.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
32.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
32.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
32.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
32.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
32.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
32.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
32.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
32.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
31.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
31.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
31.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
31.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
31.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
31.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
31.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
31.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
31.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
31.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
31.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
31.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
31.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
31.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
31.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
31.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
31.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
31.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
31.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
31.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
31.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
31.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
31.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
31.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
31.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
31.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
31.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
31.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
30.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
30.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
30.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
30.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
30.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
30.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
30.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
30.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
30.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
30.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
30.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
30.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
30.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
30.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
30.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
30.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
30.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
30.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
30.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
30.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
30.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
30.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
30.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
30.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
30.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
30.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
30.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
30.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
30.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
30.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
30.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
30.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
30.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
30.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
30.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
29.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
29.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
29.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
29.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
29.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
29.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
29.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
29.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
29.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
29.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
29.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
29.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
29.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
29.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
29.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
29.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
29.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
29.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
29.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
28.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
28.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
28.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
28.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
28.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
28.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
28.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
28.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
28.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
28.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
28.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
28.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
28.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
28.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
28.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
28.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
28.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
28.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
28.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
28.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
28.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
28.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
28.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
28.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
28.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
28.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
27.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
27.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
27.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
27.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
27.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
27.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
27.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
27.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
27.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
27.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
27.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
27.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
27.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
27.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
27.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
27.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
27.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
27.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
27.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
27.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
27.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
27.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
27.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
27.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
26.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
26.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
26.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
26.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
26.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
26.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
26.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
26.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
26.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
26.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
26.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
26.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
26.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
26.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
26.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
26.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
26.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
26.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
26.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
26.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
26.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
25.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
25.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
25.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
25.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
25.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
25.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
25.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
25.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
25.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
25.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
25.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
24.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
24.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
24.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
24.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
24.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
24.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
24.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
24.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
24.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
24.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
23.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
23.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
23.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
23.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
23.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
23.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
23.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
23.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
23.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
22.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
22.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
22.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
22.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
22.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
22.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
22.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
22.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
22.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
22.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
22.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
22.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
22.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
22.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
22.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
21.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
21.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
21.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
21.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
21.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
21.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
21.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
21.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
21.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
20.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
20.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
20.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
20.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
20.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
20.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
20.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
19.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
19.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
19.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
19.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
19.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
18.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
18.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
18.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
18.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
18.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
17.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
17.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
17.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
16.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
16.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
16.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
14.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
13.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
12.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
4.3
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.
PEF1 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
45.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
76.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
71.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
66.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
64.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
64.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
62.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
62.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
60.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
60.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
59.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
59.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
58.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
58.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
58.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
57.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
57.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
56.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
55.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
54.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
54.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
54.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
53.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
53.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
53.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
53.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
52.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
52.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
52.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
51.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
51.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
50.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
49.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
49.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
49.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
49.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
48.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
48.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
48.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
47.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
47.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
45.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
45.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
45.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
45.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
44.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
44.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
44.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
44.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
44.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
42.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
42.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
41.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
41.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
40.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
40.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
40.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
40.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
39.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
39.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
39.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
39.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
39.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
38.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
38.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
37.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
37.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
35.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
34.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
34.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
34.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
33.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
33.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
33.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
32.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
31.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
31.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
31.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
30.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
30.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
30.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
28.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
27.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
27.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
26.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
25.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
23.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 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.
PEF1 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
27.8
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
64.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
61.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
44.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
44.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
43.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
43.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
43.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
42.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
40.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
40.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
39.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
39.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
38.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
38.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
38.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
38.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
38.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
37.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
37.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
37.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
37.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
36.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
36.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
36.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
36.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
36.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
36.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
35.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
35.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
35.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
35.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
35.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
34.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
34.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
34.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
34.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
34.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
34.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
34.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
34.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
33.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
33.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
33.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
33.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
33.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
33.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
33.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
33.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
32.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
32.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
32.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
32.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
32.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
32.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
32.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
32.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
31.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
31.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
31.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
31.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
31.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
31.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
31.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
31.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
31.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
31.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
31.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
31.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
31.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
31.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
31.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
31.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
30.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
30.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
30.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
30.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
30.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
30.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
30.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
30.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
29.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
29.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
29.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
29.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
29.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
29.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
29.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
29.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
29.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
29.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
28.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
28.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
28.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
28.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
28.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
28.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
28.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
28.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
28.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
28.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
28.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
28.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
27.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
27.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
27.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
27.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
27.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
27.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
27.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
27.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
27.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
27.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
27.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
27.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
27.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
26.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
26.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
26.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
26.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
26.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
26.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
26.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
26.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
26.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
26.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
26.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
26.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
26.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
26.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
26.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
26.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
25.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
25.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
25.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
25.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
24.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
24.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
24.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
24.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
24.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
24.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
24.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
23.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
23.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
23.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
23.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
23.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
23.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
23.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
23.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
22.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
22.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
22.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
22.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
22.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
22.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
22.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
22.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
21.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
21.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
21.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
21.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
21.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
21.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
21.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
21.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
20.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
20.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
20.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
20.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
20.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
20.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
20.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
20.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
19.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
19.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
19.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
19.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
19.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
19.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
19.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
18.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
18.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
18.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
18.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
18.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
17.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
16.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
16.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
16.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
16.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
16.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
16.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
16.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
15.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
15.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
15.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
15.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
14.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
14.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
12.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
12.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
12.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
10.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
10.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.5
b2400046-1d25-429d-a821-6040a6
Tumor
-0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.8
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
