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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.
PAK1 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
44.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
95.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
88.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
87.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
85.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
84.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
74.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
74.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
73.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
72.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
72.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
70.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
70.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
68.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
68.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
68.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
67.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
65.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
64.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
64.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
63.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
63.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
63.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
62.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
62.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
62.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
61.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
61.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
61.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
61.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
61.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
60.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
59.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
59.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
58.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
58.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
58.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
57.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
57.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
57.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
56.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
55.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
55.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
55.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
55.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
55.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
55.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
55.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
55.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
55.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
54.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
54.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
54.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
54.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
54.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
54.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
54.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
54.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
53.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
53.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
53.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
53.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
53.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
52.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
52.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
52.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
51.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
51.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
51.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
51.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
51.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
51.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
50.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
50.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
50.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
50.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
49.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
49.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
49.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
49.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
49.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
48.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
48.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
48.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
48.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
48.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
48.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
48.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
48.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
48.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
47.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
47.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
47.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
47.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
47.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
47.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
47.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
47.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
47.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
46.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
46.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
46.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
46.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
46.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
46.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
46.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
46.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
46.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
45.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
45.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
45.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
45.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
45.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
45.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
45.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
44.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
44.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
44.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
44.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
44.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
43.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
43.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
43.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
43.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
43.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
43.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
42.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
42.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
42.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
42.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
42.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
42.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
42.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
42.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
42.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
42.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
41.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
41.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
41.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
41.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
41.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
41.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
40.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
40.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
40.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
40.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
40.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
40.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
40.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
40.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
40.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
40.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
40.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
40.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
40.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
40.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
39.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
39.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
39.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
39.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
39.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
39.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
39.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
39.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
38.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
38.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
38.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
38.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
38.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
38.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
37.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
37.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
37.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
37.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
37.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
37.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
37.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
37.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
37.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
37.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
37.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
36.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
36.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
36.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
36.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
36.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
36.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
35.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
35.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
35.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
35.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
35.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
35.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
35.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
34.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
34.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
34.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
34.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
34.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
34.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
34.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
34.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
34.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
34.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
33.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
33.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
33.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
33.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
33.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
33.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
33.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
33.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
33.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
32.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
32.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
32.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
32.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
32.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
32.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
31.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
31.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
31.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
31.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
31.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
31.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
30.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
30.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
30.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
29.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
29.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
29.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
29.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
29.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
28.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
28.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
27.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
27.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
27.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
27.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
26.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
26.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
26.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
25.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
25.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
25.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
24.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
24.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
23.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
22.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
21.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
21.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
20.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
19.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
18.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 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.
PAK1 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
56.5
Number of samples
486
Samples
Sample
Description
TPM
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
108.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
95.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
92.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
92.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
86.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
85.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
85.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
84.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
84.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
84.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
84.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
82.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
82.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
81.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
80.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
80.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
80.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
80.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
80.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
80.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
79.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
79.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
79.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
79.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
78.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
78.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
78.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
78.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
78.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
78.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
78.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
77.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
77.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
76.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
76.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
76.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
76.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
76.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
76.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
75.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
75.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
75.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
75.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
74.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
74.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
74.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
74.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
74.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
74.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
74.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
74.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
74.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
74.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
74.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
73.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
73.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
73.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
73.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
73.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
73.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
72.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
72.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
71.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
71.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
71.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
71.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
71.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
71.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
71.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
71.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
70.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
70.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
70.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
70.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
70.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
70.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
70.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
70.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
69.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
69.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
69.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
69.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
69.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
69.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
69.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
69.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
68.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
68.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
68.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
68.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
68.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
68.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
67.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
67.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
67.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
67.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
67.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
67.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
67.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
67.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
67.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
67.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
67.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
66.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
66.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
66.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
66.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
66.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
66.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
66.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
66.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
66.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
66.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
66.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
65.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
65.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
65.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
65.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
65.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
65.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
65.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
65.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
65.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
65.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
64.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
64.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
64.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
64.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
64.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
63.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
63.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
63.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
63.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
63.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
63.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
63.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
63.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
63.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
62.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
62.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
62.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
62.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
62.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
62.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
62.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
62.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
62.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
62.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
62.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
62.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
61.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
61.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
61.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
61.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
61.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
61.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
61.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
61.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
60.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
60.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
60.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
60.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
60.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
60.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
60.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
60.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
60.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
60.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
60.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
60.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
60.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
60.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
60.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
60.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
59.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
59.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
59.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
59.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
59.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
59.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
59.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
59.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
59.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
59.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
59.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
59.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
59.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
59.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
58.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
58.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
58.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
58.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
58.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
58.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
58.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
58.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
58.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
58.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
58.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
58.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
58.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
58.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
58.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
58.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
58.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
58.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
57.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
57.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
57.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
57.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
57.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
57.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
57.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
57.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
57.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
57.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
57.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
57.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
57.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
57.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
57.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
57.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
57.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
57.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
57.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
57.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
57.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
57.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
57.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
56.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
56.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
56.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
56.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
56.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
56.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
56.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
56.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
56.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
56.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
56.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
55.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
55.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
55.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
55.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
55.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
55.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
55.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
55.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
55.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
55.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
55.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
55.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
55.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
55.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
55.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
55.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
55.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
55.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
54.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
54.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
54.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
54.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
54.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
54.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
54.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
54.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
54.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
54.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
54.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
54.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
54.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
54.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
54.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
53.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
53.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
53.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
53.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
53.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
53.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
53.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
53.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
53.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
53.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
53.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
53.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
53.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
53.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
53.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
53.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
52.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
52.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
52.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
52.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
52.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
52.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
52.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
52.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
52.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
52.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
52.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
52.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
52.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
52.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
52.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
52.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
51.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
51.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
51.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
51.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
51.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
51.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
51.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
51.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
51.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
51.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
51.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
51.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
51.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
51.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
51.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
51.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
51.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
51.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
51.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
51.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
51.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
51.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
50.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
50.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
50.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
50.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
50.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
50.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
50.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
50.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
50.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
50.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
50.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
50.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
50.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
50.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
50.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
50.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
50.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
49.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
49.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
49.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
49.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
49.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
49.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
49.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
49.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
49.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
48.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
48.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
48.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
48.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
48.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
48.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
48.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
47.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
47.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
47.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
47.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
47.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
47.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
47.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
47.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
47.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
47.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
47.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
47.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
47.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
47.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
47.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
47.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
46.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
46.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
46.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
46.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
46.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
46.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
46.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
46.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
46.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
46.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
46.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
45.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
45.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
45.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
45.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
45.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
45.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
45.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
45.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
44.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
44.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
44.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
44.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
44.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
44.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
43.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
43.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
43.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
43.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
43.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
43.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
43.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
43.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
43.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
43.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
43.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
43.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
43.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
43.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
42.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
42.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
42.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
42.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
42.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
42.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
41.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
41.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
41.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
41.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
41.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
41.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
41.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
41.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
41.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
41.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
41.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
41.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
41.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
41.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
41.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
40.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
40.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
40.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
40.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
39.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
39.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
39.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
39.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
39.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
38.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
38.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
38.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
38.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
38.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
38.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
37.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
37.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
37.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
37.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
37.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
36.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
36.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
36.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
35.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
35.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
35.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
35.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
35.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
34.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
34.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
34.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
33.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
32.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
31.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
30.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
30.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
28.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
28.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
28.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
27.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
27.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
27.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
27.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
23.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.2
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.
PAK1 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
44.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
98.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
81.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
73.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
65.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
64.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
62.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
62.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
61.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
59.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
59.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
58.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
57.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
56.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
55.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
54.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
54.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
53.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
52.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
52.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
52.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
52.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
51.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
51.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
51.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
50.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
50.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
50.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
49.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
49.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
49.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
49.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
49.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
48.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
48.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
47.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
47.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
46.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
46.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
46.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
45.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
45.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
45.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
45.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
45.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
44.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
44.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
44.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
43.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
43.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
43.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
43.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
42.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
42.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
42.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
42.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
41.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
41.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
41.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
41.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
40.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
40.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
39.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
39.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
38.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
38.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
37.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
35.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
34.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
33.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
33.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
32.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
32.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
32.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
32.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
32.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
31.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
31.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
30.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
29.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
27.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
25.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
24.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
21.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
18.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
17.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
17.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
13.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PAK1 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
51.4
Number of samples
207
Samples
Sample
Description
TPM
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
109.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
81.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
81.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
76.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
75.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
74.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
72.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
71.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
71.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
71.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
71.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
70.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
69.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
69.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
68.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
67.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
67.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
67.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
67.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
67.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
66.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
66.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
66.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
66.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
66.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
66.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
66.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
65.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
65.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
65.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
65.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
64.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
64.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
64.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
64.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
64.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
63.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
63.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
63.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
62.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
62.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
61.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
61.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
61.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
61.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
60.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
60.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
60.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
59.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
59.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
59.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
59.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
58.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
58.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
58.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
57.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
57.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
57.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
57.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
57.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
57.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
57.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
56.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
56.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
56.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
56.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
56.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
56.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
56.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
55.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
55.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
55.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
55.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
54.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
54.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
54.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
54.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
54.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
53.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
53.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
53.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
53.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
53.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
53.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
53.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
53.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
53.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
53.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
52.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
52.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
52.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
52.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
52.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
51.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
51.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
51.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
51.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
51.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
51.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
51.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
51.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
51.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
51.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
51.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
51.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
50.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
50.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
50.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
50.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
50.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
50.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
50.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
50.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
50.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
49.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
49.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
49.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
49.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
48.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
48.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
48.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
48.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
48.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
48.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
48.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
47.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
47.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
47.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
47.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
47.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
47.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
47.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
46.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
46.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
46.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
46.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
46.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
46.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
46.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
46.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
45.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
45.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
45.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
45.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
45.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
45.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
45.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
45.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
45.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
45.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
44.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
44.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
44.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
44.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
44.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
44.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
43.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
43.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
43.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
43.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
43.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
43.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
43.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
43.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
42.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
42.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
42.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
42.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
40.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
40.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
40.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
39.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
38.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
38.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
37.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
37.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
36.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
36.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
36.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
35.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
35.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
35.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
35.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
34.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
34.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
34.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
33.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
33.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
33.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
33.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
33.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
32.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
32.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
32.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
31.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
31.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
31.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
30.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
30.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
29.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
29.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
28.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
27.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
27.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
26.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
26.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b2400046-1d25-429d-a821-6040a6
Tumor
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
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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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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Normal
0.2
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Tumor
0.2
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Tumor
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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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
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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
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Normal
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
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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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Tumor
0.1
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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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Tumor
0.1
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Tumor
0.1
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Normal
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
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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
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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
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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
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Normal
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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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
-0.1
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Tumor
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Normal
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Tumor
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Tumor
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
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Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-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
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Normal
-0.1
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Tumor
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Normal
-0.1
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Tumor
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Normal
-0.1
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Normal
-0.1
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Tumor
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Tumor
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Normal
-0.1
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Tumor
-0.1
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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
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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
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
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Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
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Normal
-0.2
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Normal
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
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Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
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
