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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.
TOP2A 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
47.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
214.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
201.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
143.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
135.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
116.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
115.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
109.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
103.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
93.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
92.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
92.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
89.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
87.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
85.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
84.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
81.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
79.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
79.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
78.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
77.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
74.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
73.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
73.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
72.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
72.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
71.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
70.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
68.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
67.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
67.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
67.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
66.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
66.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
66.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
64.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
64.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
64.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
63.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
63.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
62.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
62.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
62.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
62.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
61.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
61.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
61.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
61.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
61.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
60.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
60.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
60.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
60.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
60.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
59.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
58.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
58.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
57.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
57.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
57.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
56.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
56.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
56.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
56.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
55.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
55.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
55.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
54.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
54.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
54.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
53.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
53.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
53.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
53.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
52.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
52.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
52.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
52.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
52.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
52.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
52.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
52.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
52.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
52.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
51.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
51.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
51.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
51.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
50.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
50.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
50.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
50.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
50.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
49.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
49.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
49.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
49.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
49.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
49.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
49.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
48.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
48.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
48.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
48.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
48.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
48.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
48.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
47.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
47.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
47.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
46.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
46.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
46.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
46.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
46.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
46.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
46.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
46.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
46.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
46.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
45.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
45.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
44.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
44.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
44.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
44.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
44.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
43.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
43.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
43.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
43.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
43.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
43.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
42.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
42.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
42.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
42.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
42.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
42.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
41.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
41.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
41.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
41.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
41.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
40.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
40.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
40.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
40.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
39.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
39.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
39.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
39.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
39.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
39.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
39.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
39.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
39.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
38.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
38.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
38.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
38.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
38.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
37.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
37.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
37.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
37.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
37.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
36.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
36.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
36.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
36.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
36.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
35.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
35.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
35.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
35.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
35.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
35.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
35.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
35.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
35.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
35.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
35.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
34.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
34.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
34.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
34.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
33.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
33.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
33.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
33.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
32.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
32.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
32.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
31.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
31.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
30.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
30.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
30.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
30.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
30.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
29.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
29.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
28.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
28.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
28.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
28.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
28.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
28.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
28.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
28.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
27.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
27.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
26.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
26.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
26.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
25.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
25.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
25.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
25.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
25.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
25.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
24.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
24.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
24.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
23.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
23.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
23.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
22.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
22.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
21.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
21.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
21.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
20.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
20.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
20.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
20.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
20.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
19.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
19.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
19.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
19.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
19.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
19.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
18.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
17.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
15.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
15.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
15.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
13.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
12.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
11.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
10.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
10.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
TOP2A 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
61.2
Number of samples
486
Samples
Sample
Description
TPM
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
198.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
176.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
158.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
158.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
154.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
150.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
149.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
147.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
146.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
134.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
132.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
132.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
123.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
122.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
119.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
118.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
118.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
116.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
116.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
114.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
111.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
108.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
107.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
105.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
103.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
103.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
102.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
101.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
101.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
100.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
100.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
100.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
98.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
98.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
98.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
97.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
97.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
97.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
97.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
96.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
96.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
96.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
96.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
95.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
95.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
94.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
94.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
94.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
94.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
92.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
92.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
92.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
91.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
90.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
90.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
90.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
90.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
89.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
89.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
89.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
89.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
89.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
88.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
88.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
88.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
88.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
88.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
87.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
87.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
87.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
86.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
86.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
86.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
86.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
86.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
85.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
85.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
85.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
84.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
84.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
84.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
84.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
83.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
83.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
82.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
82.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
82.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
82.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
82.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
81.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
81.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
81.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
81.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
81.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
81.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
81.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
81.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
80.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
80.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
80.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
80.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
80.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
79.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
79.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
78.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
78.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
77.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
77.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
77.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
77.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
76.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
76.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
76.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
75.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
75.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
75.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
75.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
75.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
74.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
74.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
74.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
74.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
73.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
73.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
73.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
73.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
73.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
73.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
73.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
73.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
73.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
73.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
73.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
73.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
72.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
72.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
72.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
71.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
71.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
71.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
71.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
71.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
71.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
70.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
70.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
70.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
70.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
70.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
70.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
70.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
69.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
69.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
69.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
69.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
69.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
69.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
69.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
69.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
69.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
68.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
68.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
68.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
67.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
67.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
67.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
67.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
67.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
67.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
67.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
67.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
66.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
66.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
66.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
66.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
66.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
65.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
65.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
65.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
65.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
65.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
65.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
65.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
65.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
65.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
65.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
65.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
64.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
64.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
64.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
64.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
64.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
64.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
64.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
64.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
64.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
64.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
64.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
64.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
63.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
63.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
63.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
63.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
63.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
62.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
62.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
62.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
62.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
62.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
62.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
61.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
61.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
61.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
61.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
61.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
61.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
60.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
60.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
60.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
60.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
60.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
60.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
60.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
60.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
59.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
59.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
59.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
59.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
59.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
59.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
59.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
59.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
59.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
58.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
58.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
58.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
58.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
58.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
58.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
58.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
58.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
58.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
58.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
58.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
57.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
57.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
57.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
57.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
57.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
57.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
57.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
56.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
56.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
56.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
56.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
56.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
56.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
56.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
56.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
56.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
55.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
55.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
55.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
55.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
55.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
55.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
55.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
55.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
55.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
55.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
54.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
54.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
54.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
54.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
54.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
54.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
54.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
54.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
54.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
53.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
53.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
53.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
53.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
53.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
52.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
52.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
52.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
52.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
52.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
51.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
51.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
51.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
51.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
51.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
51.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
50.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
50.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
50.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
50.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
50.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
50.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
49.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
49.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
49.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
49.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
49.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
49.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
49.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
49.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
49.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
49.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
49.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
49.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
49.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
49.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
48.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
48.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
48.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
48.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
48.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
48.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
48.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
48.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
48.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
48.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
48.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
47.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
47.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
47.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
47.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
46.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
46.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
46.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
46.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
46.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
46.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
46.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
46.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
46.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
46.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
45.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
45.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
45.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
45.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
45.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
45.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
45.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
45.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
45.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
45.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
45.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
45.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
44.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
44.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
44.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
43.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
43.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
43.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
43.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
43.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
43.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
43.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
43.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
43.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
43.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
43.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
42.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
42.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
42.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
42.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
42.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
42.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
42.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
42.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
41.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
41.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
41.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
41.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
41.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
41.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
41.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
41.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
41.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
41.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
40.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
40.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
40.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
40.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
40.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
40.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
40.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
40.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
40.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
40.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
40.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
39.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
39.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
39.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
39.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
39.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
39.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
39.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
39.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
38.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
38.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
38.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
38.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
38.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
37.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
37.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
36.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
36.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
36.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
36.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
36.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
35.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
35.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
35.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
35.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
35.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
35.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
35.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
35.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
35.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
34.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
34.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
34.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
34.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
33.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
33.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
33.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
33.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
33.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
33.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
33.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
33.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
32.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
32.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
32.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
31.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
31.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
31.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
31.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
31.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
30.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
29.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
29.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
29.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
28.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
28.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
28.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
28.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
28.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
27.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
26.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
26.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
26.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
25.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
25.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
24.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
23.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
23.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
23.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
23.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
22.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
22.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
21.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
21.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
21.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
21.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
20.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
20.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
20.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
19.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
18.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
18.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
17.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
16.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
16.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
9.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
8.7
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.
TOP2A 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
51.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
189.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
135.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
117.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
114.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
111.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
109.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
96.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
83.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
82.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
79.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
78.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
77.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
77.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
76.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
75.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
73.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
73.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
70.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
69.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
65.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
65.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
64.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
62.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
61.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
61.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
60.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
59.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
59.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
57.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
57.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
55.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
54.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
52.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
51.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
51.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
50.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
48.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
48.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
48.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
47.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
46.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
46.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
45.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
44.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
44.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
43.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
43.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
43.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
42.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
42.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
42.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
41.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
40.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
38.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
38.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
37.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
36.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
36.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
35.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
35.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
33.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
33.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
33.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
33.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
33.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
32.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
30.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
29.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
29.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
29.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
28.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
27.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
27.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
27.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
26.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
26.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
24.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
21.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
21.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
21.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
19.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
19.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
19.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
18.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
17.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
17.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 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.
TOP2A 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
55.6
Number of samples
207
Samples
Sample
Description
TPM
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
501.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
176.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
120.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
116.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
115.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
113.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
113.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
109.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
109.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
106.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
104.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
99.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
98.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
97.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
96.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
92.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
90.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
89.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
89.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
88.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
88.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
87.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
85.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
84.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
84.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
82.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
82.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
81.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
81.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
80.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
80.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
80.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
77.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
76.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
75.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
74.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
74.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
74.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
74.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
74.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
73.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
72.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
72.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
71.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
71.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
71.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
70.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
70.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
70.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
70.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
69.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
69.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
68.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
68.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
67.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
67.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
67.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
67.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
66.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
66.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
65.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
65.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
64.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
64.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
63.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
63.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
63.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
62.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
61.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
60.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
60.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
60.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
60.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
60.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
59.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
59.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
59.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
58.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
58.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
58.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
58.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
57.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
56.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
56.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
55.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
55.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
53.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
53.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
53.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
53.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
53.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
52.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
52.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
52.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
52.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
52.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
52.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
52.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
51.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
51.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
51.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
51.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
51.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
51.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
50.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
50.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
50.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
50.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
49.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
49.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
49.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
48.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
48.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
48.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
48.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
47.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
47.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
47.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
47.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
47.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
47.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
46.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
46.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
45.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
45.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
45.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
44.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
44.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
44.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
44.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
43.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
43.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
43.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
42.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
42.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
42.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
42.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
42.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
41.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
41.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
40.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
40.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
40.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
39.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
39.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
39.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
38.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
38.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
38.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
38.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
36.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
36.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
36.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
36.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
36.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
35.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
34.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
34.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
34.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
33.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
33.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
33.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
32.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
32.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
31.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
30.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
29.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
29.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
28.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
28.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
28.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
28.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
28.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
27.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
27.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
27.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
26.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
26.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
26.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
26.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
23.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
23.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
23.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
23.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
22.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
22.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
22.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
22.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
21.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
21.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
21.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
21.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
21.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
20.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
19.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
19.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
18.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
17.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
17.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
15.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
12.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
11.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
9.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
6.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
0.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
1.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
1.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
1.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.9
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.9
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.9
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.9
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.8
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.8
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.8
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.7
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.6
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.6
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.7
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.7
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
