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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.
PTK6 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
30.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
89.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
82.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
80.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
74.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
73.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
73.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
71.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
70.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
69.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
68.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
68.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
66.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
66.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
65.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
65.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
64.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
64.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
63.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
61.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
60.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
60.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
60.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
57.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
57.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
56.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
55.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
55.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
54.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
54.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
54.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
54.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
53.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
53.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
52.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
51.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
50.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
50.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
48.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
48.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
47.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
47.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
47.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
47.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
46.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
45.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
45.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
45.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
44.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
44.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
44.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
44.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
44.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
44.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
44.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
42.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
42.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
42.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
41.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
41.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
41.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
40.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
40.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
39.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
39.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
39.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
39.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
38.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
38.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
38.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
38.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
38.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
38.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
37.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
37.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
37.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
36.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
36.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
36.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
35.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
35.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
35.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
35.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
34.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
34.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
34.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
34.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
34.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
33.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
33.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
33.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
33.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
33.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
33.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
32.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
31.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
31.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
31.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
31.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
31.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
30.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
30.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
30.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
30.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
30.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
30.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
30.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
30.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
29.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
29.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
28.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
28.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
28.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
28.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
28.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
28.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
28.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
28.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
27.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
27.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
27.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
27.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
27.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
27.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
27.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
27.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
27.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
27.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
27.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
26.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
26.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
26.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
26.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
26.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
25.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
25.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
25.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
25.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
25.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
25.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
25.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
25.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
25.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
24.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
24.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
24.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
24.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
24.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
23.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
23.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
23.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
23.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
23.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
23.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
23.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
23.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
23.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
23.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
23.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
22.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
22.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
22.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
22.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
22.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
22.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
22.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
22.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
22.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
22.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
22.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
21.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
21.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
21.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
21.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
21.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
21.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
21.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
20.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
20.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
20.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
19.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
19.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
19.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
19.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
19.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
19.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
19.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
18.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
18.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
18.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
18.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
18.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
18.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
18.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
18.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
17.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
17.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
17.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
17.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
17.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
17.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
17.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
17.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
17.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
16.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
16.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
16.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
16.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
15.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
15.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
15.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
15.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
15.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
15.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
15.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
15.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
15.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
14.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
14.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
14.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
14.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
14.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
14.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
13.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
13.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
13.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
12.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
12.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
12.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
11.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
11.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
11.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
10.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
10.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
10.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
10.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
10.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
10.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
10.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
10.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
9.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
9.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
9.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
8.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
8.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
8.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
8.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
7.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
7.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
6.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
5.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
4.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
3.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
3.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 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.
PTK6 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
26.5
Number of samples
486
Samples
Sample
Description
TPM
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
97.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
91.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
84.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
77.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
72.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
71.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
68.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
68.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
68.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
68.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
66.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
62.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
61.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
58.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
56.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
55.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
55.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
54.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
54.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
53.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
51.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
50.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
49.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
49.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
49.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
48.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
48.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
48.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
48.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
47.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
47.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
46.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
46.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
45.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
45.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
44.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
44.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
44.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
44.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
44.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
43.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
43.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
42.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
42.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
42.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
42.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
41.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
41.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
41.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
40.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
40.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
40.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
40.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
39.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
39.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
39.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
39.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
39.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
38.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
38.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
38.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
37.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
37.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
37.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
37.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
37.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
37.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
37.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
37.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
37.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
37.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
36.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
36.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
36.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
36.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
36.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
35.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
35.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
35.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
35.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
35.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
35.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
35.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
35.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
35.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
35.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
35.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
35.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
35.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
35.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
35.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
35.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
35.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
34.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
34.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
34.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
34.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
34.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
34.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
34.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
34.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
34.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
34.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
33.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
33.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
33.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
33.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
33.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
33.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
33.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
33.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
33.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
32.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
32.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
32.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
32.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
32.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
32.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
32.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
32.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
32.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
31.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
31.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
31.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
31.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
31.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
31.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
31.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
31.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
31.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
31.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
31.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
31.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
31.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
31.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
31.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
31.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
31.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
30.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
30.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
30.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
30.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
30.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
30.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
30.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
30.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
30.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
30.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
30.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
30.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
30.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
30.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
30.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
29.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
29.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
29.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
29.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
29.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
29.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
29.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
29.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
29.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
29.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
29.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
29.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
29.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
29.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
29.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
29.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
29.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
29.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
29.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
29.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
29.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
29.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
29.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
28.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
28.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
28.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
28.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
28.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
28.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
28.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
28.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
28.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
28.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
28.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
28.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
28.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
28.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
28.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
27.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
27.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
27.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
27.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
27.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
27.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
27.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
27.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
27.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
27.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
27.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
27.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
27.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
27.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
27.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
26.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
26.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
26.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
26.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
26.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
26.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
26.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
26.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
26.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
26.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
26.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
26.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
26.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
26.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
26.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
26.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
26.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
26.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
25.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
25.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
25.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
25.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
25.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
25.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
25.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
25.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
25.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
24.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
24.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
24.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
24.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
24.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
24.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
24.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
24.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
24.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
24.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
24.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
24.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
24.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
24.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
24.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
24.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
24.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
24.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
24.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
24.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
24.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
24.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
23.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
23.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
23.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
23.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
23.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
23.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
23.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
23.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
23.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
23.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
23.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
23.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
23.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
23.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
23.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
23.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
23.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
22.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
22.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
22.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
22.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
22.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
22.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
22.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
22.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
22.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
22.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
22.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
22.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
22.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
22.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
22.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
22.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
22.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
21.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
21.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
21.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
21.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
21.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
21.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
21.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
21.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
21.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
21.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
21.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
21.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
21.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
21.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
21.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
21.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
21.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
21.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
21.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
20.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
20.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
20.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
20.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
20.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
20.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
20.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
20.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
20.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
20.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
20.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
20.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
20.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
20.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
20.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
20.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
20.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
19.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
19.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
19.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
19.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
19.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
19.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
19.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
19.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
19.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
19.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
19.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
19.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
19.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
19.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
19.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
19.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
19.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
19.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
19.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
19.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
19.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
19.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
18.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
18.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
18.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
18.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
18.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
18.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
18.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
18.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
18.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
17.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
17.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
17.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
17.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
17.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
17.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
17.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
17.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
17.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
17.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
17.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
17.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
17.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
17.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
17.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
17.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
16.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
16.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
16.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
16.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
16.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
16.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
16.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
16.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
16.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
16.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
16.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
16.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
16.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
16.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
16.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
16.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
16.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
16.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
16.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
16.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
15.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
15.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
15.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
15.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
15.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
15.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
15.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
15.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
15.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
15.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
15.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
15.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
14.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
14.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
14.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
14.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
14.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
14.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
14.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
14.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
14.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
14.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
14.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
13.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
13.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
13.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
13.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
13.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
13.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
13.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
13.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
13.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
13.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
13.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
13.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
13.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
13.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
13.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
13.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
13.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
13.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
12.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
12.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
12.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
12.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
12.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
12.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
11.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
11.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
11.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
11.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
11.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
11.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
11.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
11.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
11.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
11.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
11.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
11.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
10.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
10.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
10.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
10.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
10.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
10.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
9.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
9.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
9.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
9.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
9.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
8.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
8.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
8.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
8.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
8.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
8.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
8.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
8.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
7.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
7.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
6.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
6.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
5.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
5.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
5.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
4.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
4.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
4.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.4
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.
PTK6 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
33.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
85.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
74.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
72.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
69.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
66.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
65.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
64.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
63.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
56.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
55.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
51.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
50.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
47.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
47.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
46.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
44.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
44.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
43.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
43.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
43.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
43.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
42.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
41.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
41.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
41.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
40.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
39.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
39.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
39.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
39.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
39.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
39.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
36.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
36.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
36.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
34.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
34.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
33.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
33.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
32.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
32.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
31.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
31.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
31.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
30.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
30.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
29.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
28.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
28.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
28.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
27.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
27.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
27.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
26.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
26.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
26.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
26.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
25.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
24.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
24.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
24.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
24.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
24.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
23.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
23.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
22.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
22.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
22.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
21.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
20.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
20.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
19.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
18.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
18.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
17.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
17.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
17.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
16.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
16.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
16.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
15.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
15.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
14.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
13.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
12.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
11.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
8.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 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.
PTK6 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
27.1
Number of samples
207
Samples
Sample
Description
TPM
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
84.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
70.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
59.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
52.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
51.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
50.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
48.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
48.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
48.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
48.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
47.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
46.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
46.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
45.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
45.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
44.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
44.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
43.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
43.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
42.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
42.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
42.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
42.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
42.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
42.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
41.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
41.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
41.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
40.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
39.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
39.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
39.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
38.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
38.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
38.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
37.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
36.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
36.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
36.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
36.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
36.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
36.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
36.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
36.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
35.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
35.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
35.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
34.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
34.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
33.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
33.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
33.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
33.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
33.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
32.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
32.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
32.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
32.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
31.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
31.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
31.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
31.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
31.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
30.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
30.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
30.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
30.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
30.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
30.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
30.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
30.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
29.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
29.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
29.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
29.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
29.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
29.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
29.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
29.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
29.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
29.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
29.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
29.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
28.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
28.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
28.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
27.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
27.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
27.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
27.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
27.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
26.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
26.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
26.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
26.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
26.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
26.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
26.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
26.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
26.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
26.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
26.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
25.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
25.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
25.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
25.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
25.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
25.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
25.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
25.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
25.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
25.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
25.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
25.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
24.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
24.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
24.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
24.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
23.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
23.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
23.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
23.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
22.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
22.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
22.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
22.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
22.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
22.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
22.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
22.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
22.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
21.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
21.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
21.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
21.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
20.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
20.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
20.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
20.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
20.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
20.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
20.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
20.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
19.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
19.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
19.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
19.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
19.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
19.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
19.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
19.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
18.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
18.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
18.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
18.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
18.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
18.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
18.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
17.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
17.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
17.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
17.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
17.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
17.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
16.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
16.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
16.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
16.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
16.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
16.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
16.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
16.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
15.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
15.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
15.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
15.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
15.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
14.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
14.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
14.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
14.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
14.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
14.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
13.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
13.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
13.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
13.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
12.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
12.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
12.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
11.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
11.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
11.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
11.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
10.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
10.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
10.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
10.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
9.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
9.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
9.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
8.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
7.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
5.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
1.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
1.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.9
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.8
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.8
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.6
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.7
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.7
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.9
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.9
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.9
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-1.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.9
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
