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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.
DHX15 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
58.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
214.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
137.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
120.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
105.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
105.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
103.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
101.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
100.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
99.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
98.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
96.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
95.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
94.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
91.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
90.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
89.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
89.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
87.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
85.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
85.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
84.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
84.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
83.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
83.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
83.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
83.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
82.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
82.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
82.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
82.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
82.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
80.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
80.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
79.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
77.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
77.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
77.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
76.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
76.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
76.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
75.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
75.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
75.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
75.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
74.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
74.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
73.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
73.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
73.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
73.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
73.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
72.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
72.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
72.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
72.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
71.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
71.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
71.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
70.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
70.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
70.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
70.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
70.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
70.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
70.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
69.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
69.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
68.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
68.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
68.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
68.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
67.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
67.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
67.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
67.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
67.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
66.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
66.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
66.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
65.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
64.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
64.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
64.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
64.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
63.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
63.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
63.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
62.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
62.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
62.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
62.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
62.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
62.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
62.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
61.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
61.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
61.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
61.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
60.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
60.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
60.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
60.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
59.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
59.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
59.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
59.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
59.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
59.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
59.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
59.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
58.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
58.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
58.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
57.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
57.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
57.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
57.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
57.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
56.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
56.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
56.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
56.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
56.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
56.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
56.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
56.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
55.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
55.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
55.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
55.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
55.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
54.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
54.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
54.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
54.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
54.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
54.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
54.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
53.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
53.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
53.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
53.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
53.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
52.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
52.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
52.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
52.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
52.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
51.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
51.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
51.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
51.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
51.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
50.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
50.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
50.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
50.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
50.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
50.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
49.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
49.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
49.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
49.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
48.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
48.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
48.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
48.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
48.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
48.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
48.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
47.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
47.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
47.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
47.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
47.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
47.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
46.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
46.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
46.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
46.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
46.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
46.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
46.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
46.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
45.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
45.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
45.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
45.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
45.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
45.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
44.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
44.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
44.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
44.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
43.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
43.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
43.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
43.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
42.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
42.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
42.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
42.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
42.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
41.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
41.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
41.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
40.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
40.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
40.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
40.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
39.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
39.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
39.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
38.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
38.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
38.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
37.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
37.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
37.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
37.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
37.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
36.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
35.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
35.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
35.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
35.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
35.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
35.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
35.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
34.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
34.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
34.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
33.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
33.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
33.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
32.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
32.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
32.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
31.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
31.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
30.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
30.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
30.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
28.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
28.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
28.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
27.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
27.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
26.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
26.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
24.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
23.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
23.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 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.
DHX15 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
92.2
Number of samples
486
Samples
Sample
Description
TPM
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
157.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
149.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
148.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
147.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
147.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
143.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
142.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
142.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
138.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
136.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
136.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
134.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
133.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
132.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
131.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
131.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
130.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
129.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
128.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
128.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
127.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
127.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
127.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
127.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
126.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
125.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
125.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
124.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
124.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
124.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
124.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
124.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
124.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
123.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
122.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
122.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
122.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
121.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
120.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
119.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
118.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
118.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
117.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
117.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
117.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
117.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
117.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
116.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
116.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
116.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
115.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
115.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
115.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
115.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
115.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
115.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
115.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
114.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
114.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
114.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
114.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
114.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
114.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
114.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
113.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
113.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
113.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
113.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
112.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
112.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
112.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
112.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
112.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
112.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
112.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
111.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
111.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
111.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
111.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
111.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
111.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
110.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
110.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
110.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
110.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
110.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
110.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
110.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
110.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
109.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
109.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
109.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
109.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
109.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
108.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
108.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
108.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
108.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
108.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
107.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
107.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
107.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
107.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
107.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
107.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
107.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
107.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
107.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
107.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
107.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
106.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
106.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
106.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
106.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
106.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
106.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
106.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
106.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
106.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
106.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
106.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
105.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
105.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
105.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
105.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
105.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
104.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
104.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
104.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
104.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
104.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
104.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
104.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
104.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
104.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
103.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
103.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
103.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
103.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
103.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
103.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
102.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
102.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
102.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
102.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
102.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
102.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
101.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
101.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
101.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
101.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
101.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
101.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
101.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
101.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
100.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
100.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
100.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
100.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
100.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
100.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
100.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
100.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
99.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
99.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
99.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
99.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
99.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
99.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
99.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
99.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
99.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
99.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
99.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
99.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
99.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
99.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
99.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
99.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
98.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
98.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
98.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
98.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
98.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
98.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
98.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
97.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
97.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
97.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
97.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
97.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
97.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
97.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
96.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
96.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
96.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
96.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
96.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
96.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
95.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
95.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
95.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
95.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
95.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
95.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
95.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
95.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
94.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
94.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
94.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
94.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
94.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
94.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
94.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
94.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
94.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
94.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
94.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
93.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
93.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
93.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
93.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
93.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
93.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
93.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
93.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
93.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
93.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
93.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
92.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
92.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
92.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
92.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
92.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
92.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
92.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
92.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
92.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
92.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
91.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
91.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
91.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
91.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
91.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
91.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
91.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
91.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
90.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
90.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
90.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
90.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
90.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
90.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
90.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
90.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
90.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
90.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
89.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
89.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
89.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
89.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
89.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
89.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
89.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
89.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
88.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
88.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
88.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
88.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
88.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
88.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
87.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
87.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
87.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
87.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
87.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
87.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
87.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
87.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
87.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
87.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
86.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
86.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
86.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
86.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
86.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
86.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
86.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
86.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
86.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
86.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
86.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
86.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
85.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
85.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
85.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
85.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
85.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
85.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
85.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
85.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
85.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
85.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
85.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
84.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
84.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
84.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
84.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
84.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
84.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
84.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
84.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
84.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
84.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
84.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
83.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
83.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
83.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
83.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
83.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
83.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
83.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
82.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
82.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
82.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
82.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
82.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
82.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
82.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
82.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
82.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
82.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
82.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
82.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
82.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
82.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
82.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
82.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
82.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
81.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
81.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
81.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
81.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
81.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
81.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
81.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
81.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
81.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
81.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
80.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
80.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
80.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
80.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
80.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
80.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
80.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
80.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
79.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
79.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
79.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
79.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
79.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
79.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
79.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
79.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
79.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
79.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
79.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
78.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
78.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
78.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
78.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
78.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
78.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
78.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
78.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
78.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
78.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
77.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
77.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
77.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
77.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
77.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
77.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
76.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
76.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
76.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
76.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
76.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
75.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
75.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
75.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
75.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
75.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
75.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
74.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
73.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
73.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
73.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
73.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
73.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
73.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
73.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
73.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
72.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
72.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
72.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
72.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
72.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
72.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
72.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
72.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
71.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
71.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
71.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
71.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
71.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
71.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
70.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
70.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
70.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
70.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
70.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
70.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
70.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
70.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
69.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
69.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
69.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
69.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
69.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
69.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
69.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
69.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
68.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
68.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
68.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
68.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
68.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
68.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
68.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
68.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
68.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
68.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
67.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
67.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
67.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
67.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
66.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
65.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
65.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
65.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
65.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
65.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
65.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
65.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
64.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
64.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
63.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
62.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
62.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
61.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
61.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
61.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
60.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
60.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
60.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
59.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
58.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
58.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
58.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
57.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
57.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
57.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
55.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
54.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
53.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
53.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
53.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
52.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
52.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
52.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
50.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
49.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.0
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.
DHX15 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
56.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
159.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
117.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
91.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
88.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
84.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
84.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
83.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
83.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
81.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
79.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
77.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
76.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
76.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
76.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
76.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
76.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
75.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
74.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
73.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
73.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
72.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
71.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
70.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
70.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
70.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
69.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
68.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
66.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
66.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
66.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
65.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
63.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
63.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
62.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
62.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
60.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
60.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
58.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
57.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
57.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
56.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
55.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
55.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
55.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
54.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
54.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
53.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
53.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
52.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
52.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
52.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
51.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
51.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
51.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
50.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
50.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
50.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
48.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
48.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
46.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
46.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
45.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
44.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
44.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
43.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
42.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
42.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
42.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
40.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
39.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
38.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
37.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
37.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
37.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
37.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
37.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
35.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
33.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
31.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
31.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
30.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
29.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
28.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
27.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
15.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
12.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.4
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.
DHX15 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
85.9
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
157.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
156.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
148.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
143.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
140.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
137.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
130.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
123.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
121.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
119.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
118.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
117.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
116.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
114.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
113.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
112.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
111.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
109.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
109.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
108.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
108.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
107.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
107.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
107.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
107.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
107.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
106.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
106.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
105.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
105.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
105.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
105.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
104.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
104.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
103.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
103.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
102.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
102.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
102.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
102.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
102.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
101.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
101.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
101.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
101.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
100.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
99.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
98.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
97.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
97.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
96.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
96.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
96.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
96.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
96.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
96.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
95.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
95.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
95.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
95.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
95.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
95.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
95.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
94.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
94.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
93.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
93.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
93.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
93.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
93.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
93.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
93.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
92.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
92.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
92.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
92.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
92.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
92.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
91.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
91.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
91.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
91.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
91.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
90.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
90.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
90.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
90.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
90.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
90.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
90.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
89.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
89.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
89.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
89.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
88.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
88.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
88.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
88.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
87.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
87.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
87.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
86.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
85.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
85.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
85.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
84.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
84.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
84.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
84.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
83.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
83.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
82.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
82.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
82.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
82.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
82.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
82.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
81.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
81.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
81.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
80.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
80.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
80.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
80.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
79.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
79.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
79.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
79.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
79.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
78.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
78.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
78.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
77.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
77.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
77.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
77.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
77.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
76.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
76.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
76.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
76.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
76.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
76.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
76.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
76.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
75.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
75.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
75.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
75.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
74.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
74.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
74.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
74.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
74.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
73.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
73.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
72.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
72.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
72.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
71.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
71.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
71.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
71.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
71.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
70.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
70.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
70.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
70.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
69.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
69.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
68.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
68.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
67.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
67.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
67.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
67.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
66.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
66.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
65.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
64.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
61.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
61.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
60.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
59.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
59.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
59.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
58.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
58.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
58.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
57.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
57.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
56.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
56.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
56.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
56.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
55.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
55.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
53.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
53.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
52.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
51.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
50.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
50.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
48.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
45.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
42.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
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Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
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Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
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
