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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.
PAK4 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
42.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
97.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
86.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
75.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
75.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
74.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
73.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
73.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
72.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
72.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
68.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
66.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
66.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
65.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
64.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
64.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
64.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
63.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
63.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
63.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
62.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
62.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
62.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
61.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
61.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
61.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
60.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
60.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
60.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
60.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
60.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
59.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
59.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
59.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
58.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
58.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
58.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
58.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
57.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
57.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
57.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
57.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
57.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
56.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
56.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
55.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
55.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
55.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
55.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
54.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
54.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
54.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
53.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
53.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
53.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
52.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
52.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
52.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
51.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
51.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
51.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
51.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
51.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
50.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
50.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
50.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
50.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
50.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
50.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
50.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
49.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
49.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
49.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
49.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
49.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
49.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
49.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
48.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
48.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
48.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
48.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
48.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
48.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
48.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
48.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
48.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
48.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
48.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
47.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
47.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
47.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
47.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
46.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
46.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
46.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
45.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
45.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
45.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
45.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
45.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
44.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
44.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
44.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
44.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
44.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
44.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
44.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
44.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
43.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
43.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
43.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
43.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
43.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
43.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
43.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
43.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
43.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
43.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
43.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
42.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
42.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
42.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
42.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
42.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
42.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
42.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
41.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
41.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
41.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
41.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
41.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
41.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
41.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
41.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
41.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
40.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
40.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
40.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
40.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
40.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
40.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
39.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
39.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
39.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
39.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
39.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
39.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
39.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
39.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
38.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
38.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
38.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
38.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
38.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
38.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
37.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
37.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
37.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
37.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
37.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
37.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
37.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
37.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
36.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
36.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
36.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
36.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
35.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
35.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
35.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
35.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
35.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
35.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
35.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
35.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
35.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
35.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
35.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
35.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
35.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
35.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
35.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
35.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
35.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
34.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
34.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
34.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
34.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
34.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
34.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
34.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
33.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
33.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
33.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
33.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
33.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
33.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
33.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
32.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
32.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
32.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
32.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
31.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
31.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
31.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
31.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
31.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
30.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
30.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
30.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
30.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
30.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
30.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
30.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
30.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
30.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
29.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
29.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
29.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
28.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
28.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
28.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
28.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
28.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
27.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
27.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
27.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
26.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
26.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
25.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
25.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
25.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
25.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
24.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
23.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
23.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
23.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
23.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
22.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
22.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
21.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
21.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
21.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
20.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
20.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
20.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
19.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
17.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
17.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
16.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
16.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
10.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
9.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
4.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
PAK4 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
35.9
Number of samples
486
Samples
Sample
Description
TPM
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
111.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
77.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
74.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
72.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
72.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
71.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
71.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
68.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
68.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
66.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
66.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
65.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
65.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
62.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
61.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
61.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
60.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
60.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
60.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
60.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
59.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
59.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
58.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
57.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
57.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
56.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
56.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
55.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
55.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
54.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
54.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
54.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
53.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
53.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
53.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
53.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
52.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
52.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
52.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
51.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
51.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
50.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
50.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
50.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
50.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
50.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
50.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
50.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
50.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
50.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
49.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
49.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
49.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
49.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
49.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
49.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
49.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
48.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
48.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
48.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
48.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
48.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
48.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
47.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
47.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
47.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
47.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
47.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
46.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
46.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
46.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
46.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
46.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
46.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
46.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
46.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
46.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
46.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
46.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
45.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
45.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
45.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
45.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
45.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
45.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
45.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
44.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
44.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
44.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
44.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
44.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
44.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
44.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
43.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
43.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
43.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
43.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
43.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
43.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
43.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
43.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
42.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
42.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
42.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
42.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
42.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
42.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
42.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
42.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
42.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
42.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
42.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
42.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
42.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
42.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
41.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
41.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
41.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
41.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
41.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
41.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
41.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
41.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
41.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
41.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
40.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
40.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
40.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
40.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
40.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
40.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
40.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
40.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
40.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
40.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
40.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
40.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
39.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
39.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
39.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
39.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
39.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
39.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
39.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
39.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
39.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
39.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
38.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
38.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
38.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
38.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
38.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
38.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
38.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
38.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
38.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
38.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
38.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
38.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
38.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
38.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
38.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
38.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
38.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
38.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
38.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
37.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
37.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
37.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
37.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
37.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
37.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
37.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
37.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
37.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
37.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
37.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
37.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
37.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
37.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
37.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
37.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
37.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
37.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
37.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
37.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
37.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
37.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
37.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
37.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
37.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
37.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
36.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
36.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
36.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
36.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
36.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
36.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
36.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
36.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
36.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
36.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
36.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
36.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
36.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
36.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
36.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
36.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
36.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
36.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
36.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
36.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
35.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
35.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
35.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
35.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
35.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
35.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
35.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
35.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
35.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
35.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
35.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
35.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
35.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
35.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
35.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
34.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
34.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
34.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
34.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
34.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
34.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
34.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
34.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
34.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
34.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
34.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
34.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
34.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
34.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
34.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
34.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
34.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
34.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
34.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
34.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
33.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
33.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
33.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
33.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
33.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
33.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
33.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
33.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
33.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
33.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
33.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
33.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
33.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
33.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
33.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
32.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
32.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
32.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
32.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
32.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
32.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
32.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
32.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
32.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
32.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
32.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
32.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
32.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
32.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
32.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
32.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
32.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
32.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
32.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
32.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
31.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
31.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
31.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
31.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
31.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
31.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
31.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
31.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
31.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
31.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
31.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
31.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
31.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
31.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
31.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
31.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
31.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
31.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
31.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
31.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
31.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
31.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
31.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
31.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
31.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
30.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
30.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
30.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
30.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
30.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
30.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
30.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
30.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
30.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
30.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
30.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
30.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
30.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
30.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
30.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
30.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
30.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
30.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
30.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
30.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
30.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
30.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
30.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
30.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
30.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
30.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
30.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
30.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
30.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
29.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
29.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
29.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
29.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
29.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
29.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
29.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
29.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
29.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
29.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
29.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
29.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
29.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
29.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
29.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
29.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
29.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
29.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
29.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
29.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
29.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
29.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
29.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
29.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
29.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
28.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
28.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
28.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
28.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
28.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
28.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
28.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
28.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
28.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
28.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
28.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
28.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
28.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
28.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
27.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
27.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
27.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
27.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
27.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
27.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
27.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
27.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
27.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
27.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
27.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
27.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
27.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
27.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
27.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
26.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
26.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
26.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
26.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
26.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
26.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
26.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
26.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
26.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
26.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
26.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
25.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
25.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
25.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
25.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
25.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
25.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
25.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
25.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
25.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
25.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
25.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
25.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
25.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
25.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
25.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
25.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
24.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
24.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
24.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
24.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
24.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
24.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
24.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
24.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
24.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
24.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
24.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
24.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
24.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
23.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
23.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
23.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
23.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
23.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
23.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
23.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
23.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
23.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
23.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
23.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
22.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
22.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
22.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
22.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
22.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
22.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
22.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
22.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
22.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
22.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
21.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
21.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
21.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
21.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
21.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
20.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
20.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
19.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
19.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
19.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
19.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
18.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
18.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
18.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
18.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
17.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
17.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
17.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
16.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
16.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
16.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
16.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
15.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
14.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
14.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
13.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PAK4 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
43.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
483.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
66.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
64.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
60.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
55.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
55.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
54.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
54.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
53.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
53.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
52.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
52.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
51.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
51.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
51.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
50.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
47.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
47.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
47.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
46.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
46.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
46.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
45.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
45.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
45.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
44.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
44.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
44.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
44.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
43.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
43.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
42.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
42.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
42.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
41.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
41.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
41.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
41.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
41.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
40.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
39.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
39.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
39.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
38.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
37.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
37.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
36.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
36.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
36.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
36.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
35.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
35.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
35.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
35.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
34.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
34.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
34.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
34.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
33.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
30.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
30.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
30.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
30.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
29.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
29.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
29.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
29.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
29.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
28.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
28.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
28.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
28.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
28.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
27.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
27.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
27.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
26.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
26.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
25.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
25.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
23.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
23.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
23.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
23.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
21.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
20.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
14.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PAK4 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
32.6
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
132.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
121.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
79.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
66.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
65.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
58.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
53.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
52.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
52.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
51.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
51.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
50.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
50.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
49.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
48.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
48.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
47.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
46.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
44.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
43.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
43.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
43.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
43.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
42.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
42.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
42.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
42.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
42.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
41.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
40.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
40.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
39.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
39.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
39.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
39.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
39.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
39.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
39.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
38.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
38.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
38.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
38.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
38.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
38.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
38.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
38.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
38.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
37.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
37.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
37.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
37.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
37.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
37.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
37.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
37.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
37.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
36.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
36.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
36.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
36.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
36.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
35.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
35.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
35.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
34.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
34.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
34.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
34.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
34.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
34.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
33.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
33.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
33.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
33.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
33.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
33.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
33.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
33.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
33.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
33.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
32.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
32.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
32.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
32.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
32.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
32.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
32.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
32.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
32.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
32.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
32.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
32.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
32.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
31.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
31.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
31.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
31.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
31.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
31.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
31.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
31.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
31.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
31.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
31.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
31.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
31.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
31.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
31.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
31.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
31.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
30.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
30.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
30.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
30.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
30.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
30.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
29.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
29.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
29.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
29.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
29.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
29.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
29.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
29.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
29.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
28.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
28.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
28.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
28.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
28.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
28.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
28.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
28.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
27.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
27.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
27.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
27.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
27.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
26.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
26.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
26.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
26.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
26.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
26.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
26.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
26.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
26.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
25.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
25.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
25.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
25.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
25.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
25.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
24.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
24.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
24.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
24.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
24.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
24.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
24.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
24.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
24.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
23.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
23.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
23.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
23.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
23.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
23.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
23.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
23.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
23.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
23.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
23.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
22.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
22.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
22.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
21.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
21.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
21.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
21.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
21.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
21.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
21.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
21.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
21.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
20.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
20.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
20.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
20.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
19.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
19.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
18.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
18.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
18.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
18.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
18.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
18.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
18.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
17.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
17.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
17.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
16.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
16.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
15.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
15.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
14.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
13.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
411d9597-c785-4de5-b449-29a80d_D2
Normal
2.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
2.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
1.9
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
1.9
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
1.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.7
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
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Tumor
0.2
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Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
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Normal
0.2
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Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
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Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
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Normal
0.1
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Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
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Normal
0.0
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Normal
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
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Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
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Tumor
0.0
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Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
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Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
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Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
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Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
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Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
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Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
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Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.7
b2400046-1d25-429d-a821-6040a6
Tumor
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
