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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.
ARHGEF2 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
31.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
82.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
77.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
73.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
70.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
68.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
67.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
63.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
63.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
62.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
58.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
56.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
56.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
56.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
55.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
54.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
52.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
52.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
52.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
52.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
51.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
50.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
49.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
48.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
48.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
47.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
47.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
47.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
45.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
44.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
43.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
43.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
43.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
43.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
42.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
42.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
42.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
42.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
42.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
42.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
42.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
41.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
41.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
41.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
41.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
40.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
40.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
40.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
40.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
40.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
39.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
39.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
39.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
39.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
39.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
38.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
38.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
38.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
38.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
38.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
37.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
37.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
37.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
37.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
37.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
37.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
37.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
36.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
36.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
36.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
36.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
36.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
36.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
35.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
35.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
35.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
35.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
35.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
35.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
35.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
35.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
35.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
35.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
34.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
34.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
34.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
34.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
34.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
33.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
33.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
33.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
33.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
33.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
33.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
33.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
33.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
33.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
33.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
33.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
33.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
33.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
32.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
32.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
32.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
32.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
32.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
32.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
32.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
31.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
31.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
31.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
31.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
30.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
30.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
30.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
30.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
30.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
30.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
30.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
30.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
29.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
29.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
29.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
29.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
28.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
28.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
28.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
28.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
28.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
28.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
28.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
28.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
27.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
27.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
27.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
27.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
27.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
27.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
27.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
27.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
27.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
27.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
26.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
26.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
26.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
26.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
26.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
26.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
26.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
25.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
25.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
25.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
25.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
25.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
25.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
25.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
25.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
25.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
25.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
25.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
25.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
25.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
25.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
24.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
24.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
24.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
24.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
24.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
24.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
24.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
24.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
24.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
24.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
24.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
24.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
24.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
24.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
24.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
24.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
24.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
24.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
23.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
23.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
23.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
23.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
23.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
23.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
23.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
23.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
23.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
23.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
23.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
23.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
23.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
22.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
22.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
22.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
22.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
22.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
22.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
22.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
22.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
21.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
21.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
21.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
21.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
21.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
21.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
21.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
21.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
20.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
20.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
20.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
20.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
20.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
20.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
20.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
19.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
19.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
19.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
19.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
19.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
19.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
19.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
18.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
18.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
18.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
18.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
18.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
17.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
17.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
17.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
17.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
17.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
16.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
16.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
16.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
16.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
16.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
16.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
15.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
15.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
15.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
15.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
15.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
15.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
14.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
14.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
13.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
13.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
12.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
10.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
9.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
9.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ARHGEF2 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
66.7
Number of samples
486
Samples
Sample
Description
TPM
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
205.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
142.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
122.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
121.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
120.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
116.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
116.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
114.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
114.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
109.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
107.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
107.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
107.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
106.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
106.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
105.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
105.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
105.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
104.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
104.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
103.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
103.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
102.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
102.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
101.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
101.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
100.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
100.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
99.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
99.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
98.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
98.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
98.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
97.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
97.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
96.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
96.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
96.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
96.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
95.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
95.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
95.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
95.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
94.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
94.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
94.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
93.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
93.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
93.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
93.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
92.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
91.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
91.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
91.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
91.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
90.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
90.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
90.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
90.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
90.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
89.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
89.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
89.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
88.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
87.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
87.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
87.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
85.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
85.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
85.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
84.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
84.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
84.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
84.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
84.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
84.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
83.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
83.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
83.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
83.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
83.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
83.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
82.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
82.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
82.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
82.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
82.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
82.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
82.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
80.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
80.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
80.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
80.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
79.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
79.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
79.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
79.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
79.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
79.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
78.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
78.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
78.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
78.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
78.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
77.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
77.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
77.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
77.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
77.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
77.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
77.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
77.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
77.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
77.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
77.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
76.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
76.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
76.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
76.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
76.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
76.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
76.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
75.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
75.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
75.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
75.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
75.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
75.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
75.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
75.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
74.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
74.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
74.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
74.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
74.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
74.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
74.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
74.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
74.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
73.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
73.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
73.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
73.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
73.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
73.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
72.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
72.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
72.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
72.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
72.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
72.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
72.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
72.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
71.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
71.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
71.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
71.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
71.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
71.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
71.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
71.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
70.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
70.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
70.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
70.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
70.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
70.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
70.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
70.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
70.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
70.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
70.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
70.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
70.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
69.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
69.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
69.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
69.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
69.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
69.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
69.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
69.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
69.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
69.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
68.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
68.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
68.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
68.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
68.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
68.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
68.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
68.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
68.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
68.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
68.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
68.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
68.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
68.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
68.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
67.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
67.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
67.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
67.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
67.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
67.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
67.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
67.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
67.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
67.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
67.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
67.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
67.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
67.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
66.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
66.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
66.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
66.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
66.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
66.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
66.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
66.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
65.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
65.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
65.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
65.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
65.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
65.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
65.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
65.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
65.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
65.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
64.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
64.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
64.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
64.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
64.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
64.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
64.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
64.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
64.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
64.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
64.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
63.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
63.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
63.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
63.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
63.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
63.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
63.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
63.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
63.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
63.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
63.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
62.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
62.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
62.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
62.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
62.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
62.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
62.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
62.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
62.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
62.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
62.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
62.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
62.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
62.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
62.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
61.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
61.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
61.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
61.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
61.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
61.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
61.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
61.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
61.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
61.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
61.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
61.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
61.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
61.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
61.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
60.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
60.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
60.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
60.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
60.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
60.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
60.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
60.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
60.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
60.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
60.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
60.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
59.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
59.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
59.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
59.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
59.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
59.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
59.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
58.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
58.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
58.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
58.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
58.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
58.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
58.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
58.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
58.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
58.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
58.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
58.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
58.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
58.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
57.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
57.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
57.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
57.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
57.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
57.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
57.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
57.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
57.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
57.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
57.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
57.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
57.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
56.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
56.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
56.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
56.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
56.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
56.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
56.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
56.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
56.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
56.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
56.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
56.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
56.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
56.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
56.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
56.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
56.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
55.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
55.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
55.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
55.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
55.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
55.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
55.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
55.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
55.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
55.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
55.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
55.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
55.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
55.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
55.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
54.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
54.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
54.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
54.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
54.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
54.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
54.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
54.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
54.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
54.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
54.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
54.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
54.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
54.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
54.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
54.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
54.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
54.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
54.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
54.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
54.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
53.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
53.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
53.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
53.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
53.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
53.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
53.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
53.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
53.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
53.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
52.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
52.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
52.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
52.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
52.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
52.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
52.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
52.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
52.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
51.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
51.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
51.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
51.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
51.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
50.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
50.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
50.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
50.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
50.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
50.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
50.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
50.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
49.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
49.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
49.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
49.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
49.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
49.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
49.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
49.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
49.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
49.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
49.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
48.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
48.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
48.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
48.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
48.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
48.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
47.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
47.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
47.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
46.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
46.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
46.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
46.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
46.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
46.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
46.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
46.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
45.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
45.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
45.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
45.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
44.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
44.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
44.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
44.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
44.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
43.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
43.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
42.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
42.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
42.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
42.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
42.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
41.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
41.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
40.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
40.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
40.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
39.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
39.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
39.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
39.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
38.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
38.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
38.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
38.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
37.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
36.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
36.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
36.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
35.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
35.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
34.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
33.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
31.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
31.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
28.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
25.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.5
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.
ARHGEF2 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
28.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
62.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
57.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
55.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
54.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
52.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
49.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
48.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
44.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
44.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
43.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
41.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
41.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
40.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
39.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
37.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
37.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
37.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
34.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
33.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
33.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
33.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
33.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
32.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
32.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
32.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
32.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
31.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
31.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
31.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
31.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
30.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
30.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
29.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
29.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
28.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
27.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
27.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
27.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
27.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
27.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
27.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
27.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
26.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
26.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
26.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
26.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
26.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
26.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
25.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
25.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
25.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
25.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
25.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
25.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
24.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
24.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
23.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
23.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
22.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
22.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
22.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
22.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
22.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
21.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
21.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
21.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
20.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
20.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
20.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
19.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
19.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
19.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
19.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
19.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
18.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
18.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
18.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
17.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
17.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
17.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
17.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
16.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
16.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
15.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
15.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
14.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
12.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 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.
ARHGEF2 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
66.6
Number of samples
207
Samples
Sample
Description
TPM
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
153.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
123.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
117.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
115.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
108.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
106.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
102.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
100.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
100.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
99.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
99.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
96.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
94.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
93.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
92.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
91.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
90.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
89.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
88.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
88.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
87.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
87.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
86.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
86.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
86.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
86.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
84.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
84.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
84.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
83.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
83.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
83.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
83.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
82.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
82.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
81.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
81.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
81.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
80.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
80.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
79.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
78.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
78.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
78.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
78.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
77.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
77.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
77.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
77.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
76.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
76.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
75.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
75.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
75.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
75.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
75.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
74.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
73.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
73.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
73.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
72.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
72.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
72.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
72.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
72.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
72.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
71.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
71.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
71.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
70.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
70.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
70.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
70.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
70.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
69.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
69.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
69.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
69.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
69.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
69.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
69.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
69.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
68.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
68.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
68.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
67.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
67.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
67.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
67.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
67.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
67.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
66.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
66.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
66.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
66.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
66.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
66.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
65.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
65.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
65.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
65.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
65.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
64.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
64.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
64.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
64.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
64.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
63.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
63.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
63.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
63.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
63.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
63.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
63.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
63.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
62.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
62.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
62.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
62.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
61.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
61.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
60.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
60.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
60.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
59.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
59.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
59.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
59.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
59.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
58.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
58.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
58.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
58.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
58.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
58.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
58.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
57.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
57.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
57.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
57.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
57.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
57.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
56.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
56.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
56.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
56.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
56.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
56.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
56.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
55.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
55.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
55.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
54.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
54.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
54.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
54.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
53.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
53.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
53.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
53.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
53.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
53.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
53.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
52.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
52.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
52.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
52.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
52.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
52.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
52.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
51.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
51.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
51.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
51.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
50.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
50.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
50.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
50.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
49.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
49.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
48.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
48.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
48.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
48.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
47.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
47.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
47.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
47.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
47.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
46.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
46.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
46.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
46.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
45.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
45.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
44.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
43.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
43.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
42.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
42.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
41.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
39.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
39.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
38.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
30.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
26.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.8
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
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Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
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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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
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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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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
0.1
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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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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
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
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
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Tumor
0.1
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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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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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Tumor
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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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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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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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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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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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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Tumor
0.0
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Tumor
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
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
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Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
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Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
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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Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
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Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
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Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
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
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.5
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
