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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.
RAB10 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
63.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
134.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
106.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
101.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
98.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
97.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
96.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
96.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
95.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
94.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
94.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
93.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
93.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
92.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
92.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
91.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
90.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
89.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
89.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
88.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
88.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
87.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
87.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
85.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
84.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
83.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
83.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
83.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
82.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
81.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
80.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
79.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
79.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
79.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
79.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
78.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
78.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
78.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
78.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
77.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
77.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
77.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
77.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
77.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
77.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
76.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
76.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
76.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
76.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
76.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
75.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
74.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
74.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
74.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
74.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
73.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
73.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
73.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
73.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
73.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
72.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
72.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
72.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
72.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
71.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
71.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
71.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
71.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
71.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
71.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
71.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
71.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
70.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
70.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
70.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
70.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
70.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
70.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
70.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
70.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
69.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
69.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
69.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
69.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
69.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
69.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
69.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
68.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
68.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
68.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
68.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
68.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
67.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
67.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
66.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
66.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
66.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
66.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
66.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
66.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
66.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
66.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
65.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
65.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
65.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
65.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
65.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
65.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
65.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
64.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
64.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
64.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
64.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
63.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
63.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
63.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
63.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
63.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
63.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
62.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
62.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
62.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
62.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
62.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
62.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
62.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
62.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
62.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
62.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
62.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
62.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
61.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
61.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
61.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
61.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
60.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
60.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
60.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
59.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
59.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
59.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
59.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
59.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
59.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
59.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
59.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
59.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
59.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
59.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
58.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
58.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
58.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
58.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
58.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
58.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
58.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
58.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
58.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
57.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
57.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
57.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
57.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
56.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
56.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
56.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
56.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
56.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
56.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
55.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
55.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
55.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
55.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
55.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
55.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
55.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
55.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
54.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
54.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
54.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
54.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
54.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
54.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
54.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
54.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
54.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
54.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
53.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
53.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
53.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
53.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
53.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
53.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
53.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
52.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
52.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
52.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
52.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
52.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
52.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
52.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
52.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
51.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
51.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
50.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
50.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
50.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
50.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
50.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
50.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
50.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
49.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
49.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
49.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
49.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
49.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
49.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
48.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
48.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
48.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
48.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
48.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
48.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
47.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
47.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
47.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
46.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
46.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
46.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
46.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
45.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
45.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
45.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
44.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
44.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
44.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
44.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
44.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
43.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
43.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
42.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
42.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
42.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
42.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
40.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
40.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
39.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
38.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
38.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
38.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
37.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
37.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
35.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
35.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
34.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 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.
RAB10 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
73.5
Number of samples
486
Samples
Sample
Description
TPM
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
142.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
136.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
134.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
125.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
119.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
116.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
115.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
113.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
110.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
110.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
109.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
108.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
108.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
108.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
106.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
106.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
106.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
105.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
105.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
104.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
103.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
102.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
102.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
102.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
101.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
101.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
101.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
100.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
100.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
100.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
100.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
99.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
99.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
99.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
98.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
98.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
98.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
97.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
96.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
96.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
95.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
95.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
94.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
94.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
94.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
94.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
94.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
93.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
93.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
93.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
93.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
93.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
93.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
93.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
92.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
92.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
92.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
92.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
92.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
92.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
91.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
91.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
91.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
91.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
91.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
91.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
90.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
90.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
90.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
90.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
90.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
90.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
90.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
89.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
89.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
89.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
89.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
88.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
88.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
88.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
88.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
88.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
88.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
88.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
88.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
87.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
87.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
87.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
87.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
86.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
86.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
86.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
86.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
86.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
86.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
86.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
86.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
86.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
86.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
85.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
85.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
85.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
85.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
85.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
85.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
85.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
84.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
84.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
84.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
84.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
84.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
84.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
84.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
83.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
83.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
83.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
83.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
83.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
83.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
83.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
83.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
82.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
82.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
82.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
82.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
82.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
82.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
82.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
82.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
82.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
81.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
81.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
81.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
81.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
81.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
81.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
80.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
80.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
80.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
80.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
80.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
80.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
80.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
80.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
80.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
80.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
80.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
79.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
79.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
79.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
79.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
79.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
79.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
78.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
78.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
78.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
78.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
78.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
78.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
78.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
78.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
78.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
78.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
78.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
78.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
78.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
78.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
78.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
78.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
78.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
78.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
77.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
77.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
77.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
77.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
77.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
77.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
77.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
77.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
77.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
77.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
77.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
77.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
77.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
77.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
77.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
77.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
77.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
77.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
76.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
76.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
76.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
76.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
76.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
76.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
76.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
76.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
76.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
76.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
76.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
76.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
75.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
75.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
75.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
75.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
75.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
75.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
75.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
75.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
75.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
74.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
74.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
74.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
74.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
74.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
74.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
74.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
74.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
74.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
74.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
74.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
74.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
74.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
73.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
73.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
73.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
73.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
73.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
73.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
73.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
73.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
73.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
73.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
73.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
73.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
73.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
72.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
72.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
72.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
72.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
72.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
72.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
72.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
72.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
72.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
72.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
72.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
72.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
72.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
72.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
72.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
72.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
71.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
71.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
71.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
71.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
71.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
71.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
71.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
71.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
71.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
71.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
70.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
70.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
70.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
70.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
70.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
70.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
70.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
70.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
70.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
70.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
70.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
70.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
70.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
70.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
69.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
69.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
69.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
69.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
69.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
69.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
69.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
69.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
69.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
69.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
69.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
69.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
68.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
68.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
68.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
68.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
68.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
68.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
68.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
68.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
67.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
67.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
67.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
67.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
67.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
67.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
67.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
67.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
67.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
67.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
67.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
66.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
66.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
66.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
66.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
66.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
66.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
66.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
66.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
66.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
66.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
66.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
66.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
66.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
66.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
66.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
66.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
65.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
65.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
65.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
65.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
65.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
65.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
65.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
65.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
65.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
65.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
65.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
65.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
65.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
65.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
65.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
65.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
64.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
64.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
64.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
64.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
64.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
64.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
64.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
64.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
64.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
64.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
64.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
64.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
64.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
64.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
64.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
64.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
64.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
64.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
64.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
64.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
63.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
63.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
63.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
63.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
63.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
63.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
63.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
63.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
63.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
63.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
63.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
62.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
62.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
62.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
62.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
62.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
62.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
62.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
62.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
61.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
61.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
61.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
61.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
60.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
60.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
60.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
60.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
60.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
60.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
60.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
60.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
60.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
60.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
60.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
59.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
59.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
59.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
59.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
59.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
59.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
59.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
58.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
58.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
58.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
58.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
58.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
58.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
58.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
58.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
58.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
58.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
58.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
58.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
57.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
57.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
57.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
57.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
57.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
57.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
57.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
57.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
57.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
57.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
57.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
57.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
57.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
57.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
57.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
57.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
56.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
56.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
56.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
56.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
56.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
56.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
56.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
56.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
56.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
56.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
55.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
55.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
55.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
55.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
54.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
54.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
54.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
54.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
54.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
53.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
53.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
53.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
53.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
53.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
53.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
53.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
52.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
52.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
51.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
51.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
51.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
51.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
50.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
50.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
50.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
49.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
49.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
48.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
48.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
47.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
47.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
46.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
46.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
44.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
44.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
43.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
43.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
42.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
42.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
41.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
41.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
41.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
39.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
38.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
35.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.3
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RAB10 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
66.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
130.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
124.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
110.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
98.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
95.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
95.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
94.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
92.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
91.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
91.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
87.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
86.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
86.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
84.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
83.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
83.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
82.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
82.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
81.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
81.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
80.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
78.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
78.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
76.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
75.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
75.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
73.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
73.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
73.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
73.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
71.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
71.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
70.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
70.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
68.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
67.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
66.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
66.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
66.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
66.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
65.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
65.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
65.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
64.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
64.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
63.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
63.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
63.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
63.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
62.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
61.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
60.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
60.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
60.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
59.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
59.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
57.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
57.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
56.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
56.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
56.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
55.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
55.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
55.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
54.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
54.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
53.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
53.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
52.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
52.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
52.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
52.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
51.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
51.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
51.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
51.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
49.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
49.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
48.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
48.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
44.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
41.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
38.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
35.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
34.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
33.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
29.6
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.
RAB10 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
69.9
Number of samples
207
Samples
Sample
Description
TPM
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
154.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
141.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
135.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
126.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
108.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
108.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
105.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
105.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
102.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
101.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
99.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
95.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
94.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
94.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
92.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
92.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
91.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
90.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
90.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
89.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
88.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
88.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
87.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
87.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
86.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
86.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
86.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
86.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
85.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
84.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
84.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
84.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
84.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
84.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
83.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
82.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
82.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
82.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
81.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
81.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
81.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
80.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
80.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
80.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
79.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
79.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
79.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
79.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
78.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
78.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
78.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
77.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
77.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
76.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
76.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
76.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
76.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
75.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
75.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
74.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
74.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
74.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
74.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
74.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
74.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
74.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
74.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
74.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
74.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
74.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
73.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
73.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
73.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
73.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
73.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
72.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
72.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
72.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
71.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
71.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
71.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
71.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
71.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
71.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
71.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
71.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
71.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
70.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
70.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
70.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
70.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
70.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
70.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
69.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
69.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
69.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
69.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
69.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
69.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
69.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
69.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
68.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
68.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
68.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
68.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
68.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
68.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
68.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
67.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
67.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
67.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
66.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
66.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
66.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
65.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
65.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
65.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
65.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
65.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
65.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
65.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
64.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
64.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
63.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
63.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
63.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
63.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
63.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
63.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
63.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
63.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
63.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
62.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
62.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
62.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
62.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
62.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
62.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
62.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
62.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
62.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
62.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
61.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
61.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
61.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
61.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
61.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
61.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
60.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
60.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
60.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
60.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
60.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
60.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
60.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
59.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
59.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
59.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
59.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
59.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
58.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
58.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
57.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
57.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
57.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
57.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
57.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
57.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
57.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
57.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
57.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
57.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
56.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
55.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
55.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
55.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
54.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
54.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
54.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
54.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
54.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
53.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
52.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
52.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
52.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
52.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
52.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
52.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
52.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
52.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
51.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
49.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
49.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
49.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
48.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
48.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
47.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
47.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
46.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
46.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
44.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
44.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
43.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
42.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
38.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
36.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.4
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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
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
b2400046-1d25-429d-a821-6040a6
Tumor
-0.4
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
