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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.
PTK7 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
36.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
326.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
167.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
136.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
120.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
118.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
115.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
107.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
104.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
99.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
93.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
89.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
86.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
86.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
85.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
85.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
85.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
78.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
77.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
77.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
75.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
75.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
74.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
73.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
70.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
70.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
69.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
68.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
67.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
67.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
66.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
66.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
65.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
64.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
63.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
61.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
60.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
59.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
59.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
59.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
59.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
59.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
58.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
58.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
57.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
57.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
56.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
56.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
55.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
55.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
54.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
54.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
54.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
53.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
53.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
52.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
51.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
51.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
50.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
50.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
50.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
50.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
49.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
48.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
48.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
47.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
47.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
47.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
47.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
47.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
46.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
46.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
45.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
45.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
45.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
45.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
44.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
44.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
43.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
43.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
43.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
42.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
42.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
42.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
41.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
41.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
41.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
41.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
41.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
41.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
40.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
40.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
40.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
39.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
39.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
39.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
38.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
37.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
37.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
37.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
36.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
36.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
35.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
34.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
34.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
34.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
33.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
33.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
33.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
33.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
32.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
32.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
31.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
31.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
31.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
31.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
31.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
31.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
31.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
31.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
30.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
30.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
30.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
29.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
29.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
28.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
28.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
28.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
28.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
27.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
27.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
27.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
27.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
27.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
27.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
26.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
26.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
26.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
25.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
25.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
25.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
25.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
25.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
25.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
25.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
25.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
25.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
24.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
24.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
24.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
24.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
23.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
23.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
23.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
23.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
23.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
23.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
23.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
22.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
22.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
22.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
22.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
22.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
22.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
22.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
22.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
22.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
22.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
21.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
21.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
21.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
21.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
20.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
20.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
20.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
20.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
20.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
20.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
20.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
19.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
19.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
19.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
19.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
18.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
18.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
18.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
18.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
18.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
17.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
16.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
16.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
16.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
16.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
16.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
16.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
16.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
15.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
15.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
15.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
15.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
15.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
14.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
14.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
14.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
14.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
14.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
14.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
14.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
12.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
12.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
12.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
12.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
11.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
11.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
10.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
10.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
10.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
10.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
10.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
10.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
10.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
10.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
9.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
9.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
9.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
8.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
8.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
8.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
8.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
7.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
7.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
7.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
6.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
6.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
6.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
6.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
6.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
6.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
5.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
5.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
5.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
5.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
4.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
4.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
3.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
3.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
3.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
3.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
3.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
3.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
2.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
2.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 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.
PTK7 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
33.5
Number of samples
486
Samples
Sample
Description
TPM
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
216.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
166.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
148.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
130.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
111.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
106.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
99.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
97.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
96.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
95.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
94.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
91.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
87.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
87.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
85.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
84.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
83.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
82.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
82.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
82.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
82.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
81.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
81.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
80.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
80.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
80.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
78.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
77.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
73.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
73.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
73.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
71.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
71.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
70.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
69.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
69.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
69.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
69.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
67.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
66.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
66.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
66.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
65.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
65.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
64.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
64.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
64.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
63.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
63.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
61.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
60.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
59.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
58.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
58.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
58.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
57.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
57.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
56.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
56.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
56.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
56.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
56.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
55.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
55.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
55.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
55.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
55.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
54.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
54.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
54.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
54.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
54.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
54.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
54.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
54.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
53.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
53.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
53.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
53.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
53.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
53.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
52.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
51.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
51.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
51.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
50.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
50.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
50.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
50.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
50.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
49.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
49.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
49.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
49.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
49.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
49.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
48.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
47.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
47.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
47.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
47.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
47.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
47.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
46.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
46.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
46.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
46.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
45.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
45.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
45.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
45.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
45.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
44.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
44.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
44.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
44.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
44.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
43.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
43.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
43.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
43.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
43.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
43.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
43.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
42.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
42.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
42.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
42.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
42.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
42.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
41.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
41.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
41.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
41.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
41.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
41.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
41.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
40.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
40.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
40.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
40.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
40.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
40.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
40.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
40.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
39.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
39.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
39.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
39.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
39.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
38.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
38.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
38.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
38.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
38.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
38.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
38.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
38.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
38.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
38.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
38.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
38.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
37.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
37.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
37.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
37.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
37.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
37.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
37.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
37.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
37.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
37.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
36.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
36.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
36.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
36.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
36.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
36.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
36.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
36.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
36.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
35.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
35.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
35.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
35.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
35.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
35.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
35.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
35.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
35.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
35.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
35.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
35.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
34.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
34.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
34.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
34.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
33.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
33.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
33.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
33.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
33.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
33.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
33.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
33.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
33.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
32.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
32.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
32.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
32.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
32.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
32.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
32.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
32.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
32.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
32.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
32.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
31.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
31.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
31.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
31.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
31.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
31.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
31.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
31.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
30.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
30.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
30.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
30.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
30.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
30.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
30.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
30.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
30.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
30.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
30.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
30.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
29.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
29.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
29.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
29.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
29.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
29.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
28.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
28.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
28.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
28.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
28.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
28.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
28.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
28.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
28.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
28.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
28.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
27.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
27.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
27.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
27.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
27.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
27.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
27.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
27.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
27.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
27.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
27.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
26.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
26.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
26.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
26.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
26.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
26.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
26.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
26.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
26.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
26.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
26.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
25.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
25.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
25.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
25.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
25.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
25.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
25.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
24.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
24.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
24.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
24.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
24.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
24.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
24.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
24.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
24.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
24.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
23.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
23.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
23.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
23.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
23.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
23.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
23.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
23.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
23.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
22.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
22.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
22.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
22.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
22.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
22.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
22.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
22.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
22.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
22.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
22.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
22.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
21.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
21.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
21.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
21.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
21.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
21.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
21.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
21.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
20.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
20.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
20.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
20.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
20.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
20.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
20.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
20.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
20.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
20.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
20.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
20.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
20.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
19.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
19.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
19.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
19.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
19.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
19.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
18.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
18.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
18.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
18.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
18.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
18.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
18.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
18.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
18.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
17.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
17.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
17.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
17.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
17.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
16.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
16.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
16.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
16.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
16.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
16.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
16.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
16.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
16.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
16.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
16.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
16.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
16.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
16.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
16.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
16.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
16.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
15.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
15.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
15.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
15.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
15.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
15.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
15.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
15.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
15.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
14.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
14.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
14.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
14.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
14.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
14.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
14.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
14.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
14.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
14.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
14.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
13.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
13.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
13.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
13.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
13.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
13.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
13.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
13.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
13.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
13.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
13.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
13.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
13.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
13.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
13.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
12.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
12.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
12.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
12.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
12.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
12.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
12.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
12.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
12.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
12.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
11.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
11.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
11.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
11.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
11.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
11.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
11.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
10.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
10.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
10.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
10.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
10.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
10.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
10.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
10.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
10.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
9.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
9.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
9.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
9.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
9.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
9.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
9.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
9.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
9.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
9.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
8.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
8.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
8.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
8.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
8.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
8.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
8.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
8.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
7.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
7.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
7.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
7.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
7.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
7.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
7.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
7.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
7.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
7.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
6.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
6.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
6.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
6.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
6.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
6.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
6.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
6.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
5.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
5.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
5.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
4.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
4.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
4.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
4.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
3.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
3.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
3.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
2.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
2.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
2.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
2.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
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.
PTK7 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
40.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
142.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
131.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
115.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
94.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
89.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
88.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
85.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
83.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
81.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
77.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
76.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
75.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
74.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
69.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
66.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
65.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
64.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
62.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
62.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
61.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
56.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
55.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
55.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
53.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
51.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
49.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
49.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
45.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
45.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
45.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
45.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
44.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
44.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
41.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
39.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
38.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
37.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
36.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
36.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
36.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
36.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
35.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
35.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
35.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
34.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
32.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
31.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
31.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
30.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
29.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
29.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
28.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
28.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
28.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
27.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
27.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
26.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
26.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
26.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
25.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
24.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
23.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
22.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
22.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
21.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
21.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
19.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
19.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
19.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
17.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
15.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
14.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
14.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
11.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
11.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
10.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
10.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
10.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
10.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
10.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
10.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
8.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
8.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
7.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
7.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
6.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
6.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PTK7 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
33.8
Number of samples
207
Samples
Sample
Description
TPM
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
114.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
109.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
95.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
95.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
93.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
91.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
82.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
82.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
77.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
77.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
76.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
76.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
76.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
75.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
74.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
74.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
70.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
70.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
70.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
69.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
68.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
67.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
66.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
66.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
66.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
62.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
62.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
61.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
61.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
60.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
60.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
60.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
60.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
59.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
59.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
59.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
57.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
57.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
56.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
55.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
55.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
54.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
53.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
53.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
53.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
53.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
52.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
51.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
50.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
49.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
49.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
49.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
49.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
46.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
46.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
45.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
45.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
44.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
43.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
43.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
42.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
42.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
41.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
40.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
40.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
39.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
39.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
38.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
38.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
38.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
37.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
37.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
37.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
37.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
37.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
37.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
36.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
36.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
36.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
35.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
35.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
35.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
35.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
35.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
34.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
34.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
34.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
34.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
34.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
33.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
33.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
32.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
32.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
31.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
30.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
30.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
30.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
30.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
29.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
29.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
28.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
28.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
27.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
27.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
27.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
26.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
26.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
26.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
25.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
24.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
24.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
24.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
24.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
24.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
24.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
24.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
23.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
23.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
22.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
22.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
22.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
22.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
22.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
22.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
22.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
21.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
21.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
21.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
21.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
20.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
20.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
20.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
20.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
20.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
19.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
19.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
19.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
19.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
19.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
19.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
18.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
18.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
17.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
17.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
17.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
17.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
17.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
16.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
16.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
16.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
15.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
15.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
15.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
15.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
15.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
15.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
14.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
14.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
14.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
14.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
14.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
14.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
14.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
13.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
13.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
13.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
13.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
13.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
13.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
13.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
13.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
13.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
12.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
12.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
12.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
12.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
12.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
11.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
11.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
11.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
10.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
10.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
10.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
10.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
10.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
10.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
9.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
9.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
9.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
9.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
9.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
9.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
9.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
7.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
7.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
7.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
6.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
6.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
6.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
5.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
3.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
3.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
3.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
2.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
2.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
1.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
1.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
4b263734-430f-41dc-a296-8691f0_D3
Tumor
1.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
1.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
1.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
1.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.8
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.8
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.8
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.8
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.7
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.7
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.6
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
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Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.8
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.8
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-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
