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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.
HEXA 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
35.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
102.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
86.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
85.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
77.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
77.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
77.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
76.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
74.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
73.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
72.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
71.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
63.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
63.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
62.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
61.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
60.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
59.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
59.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
59.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
57.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
56.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
56.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
55.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
55.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
55.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
54.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
54.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
53.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
52.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
52.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
51.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
51.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
50.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
50.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
50.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
50.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
50.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
50.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
49.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
49.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
49.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
49.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
49.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
49.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
49.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
48.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
48.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
48.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
48.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
48.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
48.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
47.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
47.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
47.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
47.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
47.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
46.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
46.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
46.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
46.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
45.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
45.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
45.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
45.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
45.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
44.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
44.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
44.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
43.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
43.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
43.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
43.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
42.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
42.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
42.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
42.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
42.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
42.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
42.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
41.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
41.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
41.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
41.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
41.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
41.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
41.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
40.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
40.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
40.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
40.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
40.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
40.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
40.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
39.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
39.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
39.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
38.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
38.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
38.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
38.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
38.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
38.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
37.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
37.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
37.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
37.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
36.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
36.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
36.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
36.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
35.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
35.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
35.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
35.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
35.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
35.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
35.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
35.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
35.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
35.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
34.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
34.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
34.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
34.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
34.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
34.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
34.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
34.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
33.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
33.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
33.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
33.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
33.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
32.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
32.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
32.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
32.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
32.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
32.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
32.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
32.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
32.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
31.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
31.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
31.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
31.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
31.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
31.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
31.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
30.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
30.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
30.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
30.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
30.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
29.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
29.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
29.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
29.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
29.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
29.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
28.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
28.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
28.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
28.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
28.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
27.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
27.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
27.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
27.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
27.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
26.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
26.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
26.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
26.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
26.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
26.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
26.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
25.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
25.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
25.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
24.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
24.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
24.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
24.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
23.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
23.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
23.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
23.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
22.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
22.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
22.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
22.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
22.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
22.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
22.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
21.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
21.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
21.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
21.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
21.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
21.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
20.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
20.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
20.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
20.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
20.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
20.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
20.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
19.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
19.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
19.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
19.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
19.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
19.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
19.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
19.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
19.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
19.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
18.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
18.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
18.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
18.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
18.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
17.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
17.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
17.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
17.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
17.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
17.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
16.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
16.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
16.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
16.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
16.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
15.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
15.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
15.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
15.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
14.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
14.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
14.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
14.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
13.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
13.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
13.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
13.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
12.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
12.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
12.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
11.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
10.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
10.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
8.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 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.
HEXA 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
46.9
Number of samples
486
Samples
Sample
Description
TPM
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
105.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
105.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
102.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
100.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
98.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
88.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
88.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
87.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
82.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
82.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
79.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
79.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
78.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
78.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
77.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
75.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
74.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
73.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
73.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
73.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
73.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
73.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
72.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
72.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
72.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
72.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
71.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
71.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
71.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
70.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
70.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
70.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
69.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
69.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
68.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
68.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
67.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
67.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
67.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
67.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
67.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
66.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
66.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
66.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
66.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
65.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
65.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
65.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
65.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
65.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
65.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
65.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
64.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
64.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
64.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
64.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
63.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
63.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
63.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
63.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
63.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
62.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
62.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
62.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
62.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
62.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
61.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
61.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
61.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
61.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
61.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
61.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
60.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
60.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
60.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
60.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
60.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
60.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
59.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
59.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
59.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
59.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
59.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
59.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
59.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
59.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
59.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
58.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
58.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
58.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
58.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
58.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
57.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
57.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
57.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
57.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
57.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
57.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
57.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
57.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
57.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
57.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
57.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
56.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
56.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
56.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
56.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
56.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
56.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
56.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
56.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
56.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
56.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
55.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
55.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
55.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
55.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
55.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
54.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
54.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
54.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
54.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
54.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
54.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
54.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
54.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
54.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
54.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
54.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
54.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
54.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
54.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
53.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
53.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
53.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
53.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
53.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
53.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
53.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
53.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
53.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
53.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
52.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
52.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
52.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
52.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
52.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
52.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
52.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
52.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
52.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
52.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
52.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
52.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
52.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
52.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
52.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
51.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
51.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
51.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
51.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
51.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
51.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
51.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
51.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
51.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
51.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
51.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
50.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
50.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
50.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
50.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
50.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
50.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
50.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
50.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
50.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
50.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
50.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
50.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
50.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
49.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
49.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
49.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
49.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
49.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
49.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
49.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
49.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
49.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
49.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
49.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
49.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
49.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
49.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
48.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
48.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
48.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
48.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
48.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
48.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
48.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
48.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
48.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
48.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
48.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
48.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
48.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
48.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
48.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
48.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
48.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
47.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
47.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
47.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
47.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
47.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
47.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
47.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
47.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
47.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
47.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
46.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
46.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
46.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
46.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
46.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
46.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
46.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
46.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
46.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
46.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
46.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
46.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
46.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
46.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
46.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
46.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
46.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
46.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
45.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
45.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
45.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
45.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
45.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
45.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
45.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
45.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
45.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
45.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
45.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
44.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
44.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
44.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
44.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
44.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
44.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
44.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
44.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
44.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
44.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
44.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
44.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
44.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
44.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
44.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
44.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
44.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
44.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
44.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
43.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
43.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
43.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
43.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
43.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
43.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
43.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
43.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
43.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
43.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
43.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
43.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
43.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
43.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
43.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
42.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
42.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
42.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
42.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
42.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
42.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
42.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
42.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
42.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
41.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
41.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
41.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
41.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
41.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
41.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
41.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
41.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
41.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
41.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
41.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
41.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
41.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
41.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
41.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
41.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
41.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
41.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
41.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
41.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
41.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
40.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
40.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
40.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
40.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
40.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
40.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
40.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
40.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
40.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
40.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
40.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
40.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
40.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
40.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
40.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
40.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
40.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
40.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
40.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
40.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
39.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
39.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
39.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
39.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
39.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
39.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
39.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
39.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
39.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
39.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
39.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
38.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
38.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
38.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
38.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
38.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
38.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
38.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
38.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
38.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
38.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
38.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
38.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
38.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
38.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
38.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
37.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
37.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
37.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
37.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
37.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
37.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
37.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
37.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
37.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
37.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
37.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
37.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
37.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
37.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
36.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
36.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
36.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
36.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
36.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
36.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
36.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
36.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
35.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
35.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
35.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
35.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
35.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
35.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
35.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
35.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
35.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
34.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
34.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
34.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
34.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
34.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
34.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
34.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
34.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
34.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
34.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
34.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
33.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
33.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
33.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
33.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
33.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
33.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
33.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
33.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
33.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
33.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
32.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
32.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
32.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
32.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
32.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
32.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
32.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
32.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
32.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
32.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
32.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
31.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
31.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
31.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
31.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
31.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
31.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
31.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
31.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
31.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
31.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
31.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
30.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
30.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
30.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
30.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
30.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
29.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
29.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
29.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
29.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
28.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
28.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
28.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
28.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
28.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
28.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
27.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
27.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
27.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
27.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
26.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
26.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
26.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
25.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
25.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
25.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
25.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
24.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
24.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
23.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
23.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
23.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
23.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
22.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
22.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
22.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
22.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
22.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
21.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
21.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
21.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
21.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
21.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
21.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
19.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
18.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
18.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
16.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
10.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.4
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.
HEXA 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
32.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
78.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
68.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
68.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
64.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
61.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
58.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
55.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
55.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
52.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
49.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
48.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
46.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
45.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
45.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
45.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
44.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
44.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
43.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
42.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
41.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
40.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
40.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
39.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
39.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
39.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
39.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
39.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
36.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
36.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
35.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
34.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
34.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
34.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
34.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
33.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
33.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
32.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
32.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
31.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
30.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
30.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
30.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
30.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
30.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
30.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
29.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
29.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
28.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
28.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
28.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
27.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
27.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
27.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
27.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
25.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
24.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
24.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
24.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
24.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
24.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
24.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
24.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
23.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
23.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
23.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
22.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
21.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
20.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
20.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
20.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
20.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
19.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
19.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
19.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
19.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
19.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
18.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
17.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
16.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
15.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
15.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
15.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
15.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
11.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
11.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
10.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
HEXA is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
41.8
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
95.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
86.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
86.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
81.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
81.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
78.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
74.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
72.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
68.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
68.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
67.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
65.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
65.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
65.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
64.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
64.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
64.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
63.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
63.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
63.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
62.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
62.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
61.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
61.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
61.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
60.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
60.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
59.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
59.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
58.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
58.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
58.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
58.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
58.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
58.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
57.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
57.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
56.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
56.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
55.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
55.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
55.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
54.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
53.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
53.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
52.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
52.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
52.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
52.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
51.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
51.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
51.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
51.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
50.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
50.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
49.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
49.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
49.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
49.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
49.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
49.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
48.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
48.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
48.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
48.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
48.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
47.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
47.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
47.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
46.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
46.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
45.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
45.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
45.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
44.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
44.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
44.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
44.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
44.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
44.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
44.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
43.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
43.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
43.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
43.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
42.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
42.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
42.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
42.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
42.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
42.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
42.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
42.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
41.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
41.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
41.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
41.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
40.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
40.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
39.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
39.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
39.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
39.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
39.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
39.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
39.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
38.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
38.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
38.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
38.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
38.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
38.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
38.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
38.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
37.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
37.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
37.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
37.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
37.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
37.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
37.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
36.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
36.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
36.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
36.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
35.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
35.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
35.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
35.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
35.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
35.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
35.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
35.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
34.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
34.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
34.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
34.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
34.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
34.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
33.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
33.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
33.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
33.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
32.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
32.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
32.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
31.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
31.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
31.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
31.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
31.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
31.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
31.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
30.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
30.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
29.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
29.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
29.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
29.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
29.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
29.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
29.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
29.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
29.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
28.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
28.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
28.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
28.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
27.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
26.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
26.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
26.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
26.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
26.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
26.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
25.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
25.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
25.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
25.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
25.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
25.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
25.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
25.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
24.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
24.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
24.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
24.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
23.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
23.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
23.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
23.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
22.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
21.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
21.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
20.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
20.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
20.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
19.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
19.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
19.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
17.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
17.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
17.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
16.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
15.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
11.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
1.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.9
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.8
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.8
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.8
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.7
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.7
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.7
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.7
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.7
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.7
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.7
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.8
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.8
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.8
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.8
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.9
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.9
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.2
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
