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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.
TOB1 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
57.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
250.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
225.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
219.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
159.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
155.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
138.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
135.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
123.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
120.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
120.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
119.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
118.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
116.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
115.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
110.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
108.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
106.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
102.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
102.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
102.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
100.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
99.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
98.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
97.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
96.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
95.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
95.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
94.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
94.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
91.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
86.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
85.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
85.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
85.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
84.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
84.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
83.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
80.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
80.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
79.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
79.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
79.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
78.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
76.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
76.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
76.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
75.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
75.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
73.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
72.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
72.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
71.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
71.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
71.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
70.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
70.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
69.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
68.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
68.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
67.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
66.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
66.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
66.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
65.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
65.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
65.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
64.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
64.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
64.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
64.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
63.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
63.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
63.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
63.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
61.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
61.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
61.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
61.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
61.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
60.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
60.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
60.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
60.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
60.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
59.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
58.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
58.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
58.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
57.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
57.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
57.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
57.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
57.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
56.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
56.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
56.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
56.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
56.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
55.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
55.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
55.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
55.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
54.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
54.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
54.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
54.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
54.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
53.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
53.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
53.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
53.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
53.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
53.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
53.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
52.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
52.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
52.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
52.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
51.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
51.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
51.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
51.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
51.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
51.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
51.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
50.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
50.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
50.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
50.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
49.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
49.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
49.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
49.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
49.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
49.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
49.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
48.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
48.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
48.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
48.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
47.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
47.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
47.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
47.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
47.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
47.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
47.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
47.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
46.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
46.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
46.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
46.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
46.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
46.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
46.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
46.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
46.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
46.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
45.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
45.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
45.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
44.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
44.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
44.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
44.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
43.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
43.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
43.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
43.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
43.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
42.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
42.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
42.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
42.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
41.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
41.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
41.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
41.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
41.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
41.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
40.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
40.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
40.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
40.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
40.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
39.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
39.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
39.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
39.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
39.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
39.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
39.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
39.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
38.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
38.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
38.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
37.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
37.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
37.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
37.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
36.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
36.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
36.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
36.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
35.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
35.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
35.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
35.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
35.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
34.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
34.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
34.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
34.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
34.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
34.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
33.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
32.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
32.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
32.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
32.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
32.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
31.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
31.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
31.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
30.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
29.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
29.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
29.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
29.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
28.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
28.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
28.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
28.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
28.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
27.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
27.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
27.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
27.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
26.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
25.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
24.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
24.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
24.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
24.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
24.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
23.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
23.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
23.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
22.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
22.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
21.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
21.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
19.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 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.
TOB1 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
111.2
Number of samples
486
Samples
Sample
Description
TPM
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
557.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
374.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
288.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
277.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
263.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
258.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
252.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
235.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
234.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
234.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
230.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
224.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
223.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
222.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
217.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
211.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
210.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
209.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
209.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
207.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
205.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
201.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
190.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
190.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
186.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
182.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
181.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
180.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
178.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
177.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
177.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
175.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
175.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
173.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
173.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
172.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
171.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
171.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
170.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
170.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
167.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
164.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
164.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
164.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
162.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
160.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
159.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
159.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
158.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
158.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
158.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
157.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
156.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
156.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
155.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
154.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
154.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
154.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
154.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
151.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
150.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
150.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
150.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
149.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
149.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
148.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
148.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
148.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
148.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
147.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
147.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
147.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
147.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
147.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
147.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
146.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
145.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
145.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
145.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
144.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
143.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
143.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
143.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
142.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
141.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
141.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
140.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
140.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
138.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
138.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
138.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
138.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
137.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
136.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
136.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
136.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
135.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
135.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
134.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
134.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
134.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
134.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
134.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
134.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
134.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
133.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
133.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
132.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
132.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
132.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
131.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
131.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
131.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
130.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
130.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
129.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
129.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
129.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
129.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
129.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
128.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
128.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
128.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
128.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
128.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
127.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
127.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
127.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
127.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
126.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
126.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
126.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
126.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
125.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
125.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
125.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
125.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
125.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
125.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
125.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
124.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
123.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
123.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
123.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
123.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
123.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
123.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
123.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
123.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
122.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
122.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
122.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
122.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
122.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
121.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
121.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
121.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
121.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
120.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
120.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
120.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
120.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
120.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
120.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
119.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
119.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
119.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
119.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
119.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
118.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
118.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
117.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
117.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
117.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
117.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
116.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
116.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
116.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
116.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
116.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
116.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
115.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
115.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
115.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
115.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
115.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
115.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
115.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
114.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
114.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
114.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
114.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
113.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
113.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
113.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
113.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
113.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
113.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
112.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
112.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
112.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
111.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
111.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
111.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
111.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
111.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
111.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
110.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
110.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
110.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
110.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
110.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
110.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
109.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
109.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
109.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
108.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
108.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
108.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
108.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
108.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
107.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
107.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
107.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
107.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
107.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
107.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
107.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
106.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
106.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
105.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
105.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
105.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
105.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
105.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
105.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
105.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
104.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
104.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
104.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
103.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
103.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
103.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
103.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
103.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
103.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
103.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
103.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
103.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
103.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
103.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
102.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
102.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
102.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
102.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
101.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
101.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
101.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
101.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
101.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
101.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
101.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
100.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
100.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
100.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
99.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
99.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
99.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
99.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
99.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
98.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
98.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
98.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
98.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
98.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
98.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
98.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
97.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
97.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
97.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
97.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
97.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
97.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
97.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
96.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
96.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
96.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
96.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
96.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
95.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
95.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
95.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
95.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
94.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
94.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
94.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
94.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
94.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
93.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
93.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
93.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
93.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
93.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
93.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
93.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
92.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
92.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
92.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
92.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
92.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
92.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
92.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
91.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
91.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
91.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
91.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
91.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
91.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
91.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
90.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
90.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
90.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
90.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
89.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
89.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
89.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
89.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
89.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
89.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
89.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
89.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
88.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
88.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
88.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
88.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
87.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
87.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
87.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
87.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
87.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
87.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
87.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
86.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
86.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
86.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
86.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
85.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
85.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
85.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
85.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
84.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
84.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
84.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
83.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
83.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
83.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
83.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
83.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
83.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
83.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
82.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
82.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
82.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
82.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
82.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
82.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
82.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
82.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
81.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
81.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
80.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
80.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
80.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
80.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
80.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
80.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
80.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
80.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
80.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
79.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
79.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
79.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
78.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
78.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
78.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
78.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
78.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
78.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
78.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
77.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
77.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
77.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
77.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
77.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
77.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
76.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
76.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
76.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
76.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
76.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
76.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
76.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
75.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
75.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
75.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
75.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
74.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
74.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
74.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
74.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
74.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
73.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
73.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
73.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
73.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
72.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
72.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
72.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
71.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
71.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
71.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
70.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
70.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
70.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
69.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
69.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
69.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
69.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
69.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
68.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
68.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
68.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
67.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
67.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
67.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
67.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
67.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
66.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
66.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
66.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
65.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
65.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
65.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
64.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
64.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
63.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
62.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
62.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
61.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
61.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
61.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
60.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
60.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
60.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
60.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
59.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
59.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
59.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
58.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
58.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
57.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
57.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
56.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
56.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
55.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
54.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
54.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
54.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
54.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
53.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
53.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
53.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
53.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
53.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
52.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
51.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
50.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
46.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
46.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
46.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
45.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
43.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
41.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
38.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.8
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.
TOB1 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
59.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
201.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
149.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
142.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
133.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
103.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
98.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
97.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
97.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
94.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
93.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
88.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
85.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
83.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
82.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
81.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
78.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
77.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
76.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
76.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
76.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
74.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
73.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
72.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
70.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
69.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
68.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
67.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
66.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
66.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
66.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
65.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
64.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
64.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
63.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
63.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
62.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
61.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
59.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
58.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
58.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
57.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
57.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
55.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
54.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
53.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
53.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
52.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
51.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
51.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
51.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
50.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
50.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
47.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
47.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
47.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
46.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
46.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
44.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
44.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
44.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
43.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
43.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
42.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
40.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
39.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
39.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
37.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
37.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
37.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
36.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
36.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
35.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
34.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
34.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
34.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
31.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
31.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
30.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
30.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
30.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
29.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
29.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
26.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
25.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
24.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
22.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
20.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TOB1 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
115.5
Number of samples
207
Samples
Sample
Description
TPM
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
443.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
331.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
284.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
268.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
235.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
235.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
229.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
226.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
225.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
222.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
222.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
218.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
213.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
209.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
206.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
200.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
199.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
187.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
186.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
186.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
185.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
183.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
181.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
180.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
180.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
171.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
170.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
170.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
169.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
169.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
166.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
163.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
155.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
152.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
152.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
151.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
151.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
150.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
149.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
148.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
146.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
146.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
145.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
144.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
144.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
144.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
143.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
141.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
141.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
140.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
139.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
138.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
137.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
137.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
136.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
135.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
132.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
132.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
131.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
129.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
128.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
127.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
127.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
126.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
126.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
126.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
124.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
124.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
123.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
121.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
120.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
120.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
119.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
119.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
118.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
118.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
118.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
117.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
116.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
116.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
116.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
115.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
115.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
114.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
114.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
113.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
113.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
113.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
113.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
112.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
112.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
112.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
111.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
111.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
110.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
109.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
109.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
109.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
107.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
106.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
105.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
104.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
104.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
103.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
102.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
102.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
101.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
101.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
101.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
101.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
101.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
100.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
99.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
99.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
99.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
98.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
98.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
98.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
98.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
97.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
97.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
96.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
96.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
96.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
96.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
96.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
96.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
95.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
93.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
93.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
93.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
92.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
91.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
91.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
91.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
90.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
89.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
88.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
87.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
87.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
87.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
86.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
86.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
85.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
85.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
84.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
82.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
82.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
82.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
81.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
80.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
80.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
80.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
80.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
78.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
78.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
78.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
77.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
77.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
77.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
76.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
76.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
76.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
75.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
74.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
74.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
74.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
72.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
71.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
70.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
69.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
69.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
69.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
68.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
67.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
67.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
66.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
66.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
66.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
65.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
65.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
65.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
64.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
64.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
64.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
64.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
63.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
63.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
61.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
58.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
57.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
56.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
56.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
55.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
54.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
54.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
54.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
53.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
53.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
52.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
52.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
49.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
44.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
44.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
42.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
33.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
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
