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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.
IQGAP1 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
45.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
117.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
113.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
112.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
101.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
93.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
93.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
93.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
92.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
91.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
89.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
88.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
88.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
88.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
88.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
83.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
82.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
81.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
81.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
80.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
80.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
79.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
79.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
78.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
78.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
78.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
75.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
75.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
74.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
73.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
73.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
72.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
72.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
70.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
70.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
69.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
69.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
68.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
68.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
68.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
68.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
67.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
65.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
65.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
65.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
65.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
64.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
64.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
64.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
64.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
63.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
63.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
63.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
62.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
62.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
61.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
61.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
61.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
60.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
60.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
59.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
59.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
59.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
58.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
58.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
57.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
57.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
56.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
56.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
55.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
55.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
55.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
55.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
55.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
54.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
54.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
54.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
53.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
53.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
52.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
52.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
52.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
52.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
52.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
52.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
52.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
51.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
51.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
51.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
50.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
50.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
50.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
50.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
50.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
49.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
49.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
49.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
49.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
49.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
49.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
49.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
49.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
49.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
48.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
48.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
48.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
48.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
48.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
47.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
47.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
46.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
46.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
46.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
45.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
45.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
44.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
44.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
44.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
44.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
43.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
43.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
43.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
43.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
43.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
42.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
42.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
42.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
42.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
42.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
42.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
41.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
41.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
41.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
41.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
41.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
40.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
40.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
40.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
40.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
40.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
40.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
40.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
39.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
39.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
38.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
38.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
38.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
38.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
38.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
37.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
37.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
37.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
37.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
37.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
36.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
36.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
36.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
36.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
36.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
35.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
35.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
35.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
35.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
35.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
35.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
34.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
34.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
34.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
34.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
34.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
34.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
33.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
33.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
33.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
33.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
33.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
33.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
32.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
32.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
32.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
32.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
32.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
31.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
31.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
31.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
31.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
31.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
30.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
30.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
30.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
30.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
30.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
30.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
30.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
30.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
30.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
29.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
29.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
29.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
29.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
28.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
28.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
28.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
28.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
27.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
27.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
27.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
27.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
27.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
27.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
26.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
26.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
26.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
25.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
25.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
25.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
24.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
24.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
23.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
23.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
22.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
22.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
22.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
21.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
21.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
21.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
20.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
20.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
19.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
18.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
18.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
18.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
18.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
18.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
17.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
17.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
17.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
17.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
16.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
15.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
15.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
14.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
14.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
14.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
13.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
13.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
13.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
13.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
12.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
12.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
11.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
10.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
9.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
9.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 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.
IQGAP1 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
152.2
Number of samples
486
Samples
Sample
Description
TPM
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
332.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
302.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
297.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
272.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
272.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
267.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
259.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
259.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
257.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
252.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
249.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
249.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
247.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
245.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
244.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
239.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
237.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
237.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
235.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
234.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
234.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
234.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
233.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
233.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
233.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
230.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
229.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
228.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
227.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
227.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
225.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
225.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
225.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
222.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
221.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
220.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
219.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
219.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
218.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
216.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
215.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
214.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
214.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
214.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
213.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
213.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
213.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
208.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
208.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
207.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
206.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
206.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
206.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
206.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
205.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
205.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
205.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
204.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
204.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
203.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
203.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
203.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
203.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
203.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
203.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
202.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
202.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
202.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
201.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
199.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
198.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
197.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
197.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
197.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
197.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
196.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
196.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
196.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
195.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
194.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
193.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
192.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
191.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
191.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
190.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
190.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
190.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
189.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
188.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
188.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
188.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
188.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
187.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
187.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
187.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
187.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
186.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
185.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
184.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
184.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
184.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
184.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
182.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
182.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
182.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
181.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
181.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
181.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
180.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
180.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
180.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
180.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
180.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
180.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
179.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
178.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
178.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
178.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
178.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
177.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
176.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
176.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
176.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
175.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
175.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
175.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
175.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
175.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
174.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
174.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
174.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
173.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
173.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
173.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
173.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
172.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
172.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
171.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
171.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
171.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
170.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
170.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
170.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
169.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
169.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
169.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
169.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
169.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
168.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
168.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
167.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
167.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
167.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
167.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
166.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
166.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
166.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
166.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
166.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
166.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
165.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
165.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
165.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
165.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
165.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
165.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
164.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
164.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
164.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
164.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
163.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
163.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
163.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
163.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
163.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
162.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
162.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
162.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
162.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
162.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
161.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
161.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
160.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
160.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
159.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
159.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
159.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
159.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
158.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
158.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
158.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
158.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
158.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
158.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
158.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
158.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
158.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
158.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
158.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
158.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
157.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
157.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
156.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
156.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
156.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
156.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
156.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
156.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
156.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
155.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
155.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
154.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
154.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
154.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
154.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
153.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
153.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
153.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
153.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
151.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
151.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
151.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
151.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
151.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
151.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
150.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
150.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
150.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
150.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
150.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
150.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
149.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
149.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
148.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
148.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
148.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
148.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
147.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
147.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
147.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
147.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
146.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
146.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
146.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
146.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
146.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
146.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
145.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
145.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
145.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
145.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
145.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
145.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
145.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
145.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
145.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
144.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
144.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
144.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
143.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
143.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
143.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
142.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
142.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
142.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
142.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
141.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
141.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
141.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
140.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
140.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
140.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
140.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
140.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
140.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
140.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
139.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
139.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
139.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
139.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
138.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
138.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
137.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
137.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
137.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
137.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
137.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
137.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
137.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
136.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
136.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
136.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
136.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
136.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
136.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
135.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
135.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
135.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
135.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
134.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
134.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
134.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
134.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
133.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
133.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
132.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
132.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
132.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
132.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
132.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
132.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
132.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
132.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
131.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
131.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
130.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
129.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
129.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
129.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
129.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
129.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
128.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
128.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
128.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
128.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
128.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
128.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
128.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
127.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
127.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
127.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
127.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
127.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
127.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
127.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
127.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
127.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
126.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
126.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
125.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
125.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
125.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
125.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
125.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
124.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
124.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
124.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
124.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
124.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
124.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
123.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
123.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
123.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
123.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
123.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
123.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
123.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
123.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
122.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
122.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
122.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
122.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
121.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
121.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
121.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
121.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
121.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
121.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
121.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
120.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
120.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
120.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
120.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
120.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
119.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
119.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
119.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
119.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
119.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
119.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
119.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
118.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
118.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
118.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
118.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
117.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
117.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
117.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
117.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
117.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
117.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
116.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
116.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
116.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
116.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
115.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
115.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
115.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
115.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
115.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
115.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
115.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
114.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
114.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
113.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
113.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
113.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
112.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
112.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
112.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
111.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
111.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
111.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
111.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
111.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
111.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
111.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
110.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
110.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
109.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
109.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
109.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
109.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
109.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
108.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
108.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
108.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
108.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
107.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
107.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
107.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
107.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
106.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
104.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
104.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
104.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
104.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
104.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
103.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
103.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
103.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
103.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
103.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
102.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
101.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
101.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
101.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
100.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
100.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
99.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
99.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
99.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
99.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
98.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
98.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
97.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
97.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
97.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
96.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
96.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
96.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
96.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
95.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
95.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
94.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
94.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
92.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
91.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
90.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
89.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
89.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
88.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
87.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
86.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
84.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
83.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
79.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
78.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
74.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
73.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
72.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
72.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
65.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
59.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.9
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.
IQGAP1 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
47.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
229.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
113.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
108.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
97.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
90.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
89.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
81.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
79.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
77.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
76.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
76.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
75.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
71.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
71.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
69.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
67.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
65.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
64.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
63.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
61.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
61.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
56.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
55.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
55.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
54.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
54.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
54.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
53.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
53.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
53.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
52.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
52.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
51.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
50.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
50.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
49.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
49.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
48.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
47.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
44.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
44.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
41.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
41.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
40.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
39.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
39.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
38.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
38.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
38.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
37.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
37.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
37.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
36.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
35.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
35.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
35.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
33.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
33.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
33.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
32.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
32.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
32.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
31.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
31.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
30.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
30.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
30.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
29.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
29.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
28.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
27.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
26.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
26.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
26.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
25.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
24.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
24.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
22.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
20.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
19.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
14.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
13.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
13.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
12.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
5.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
3.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
IQGAP1 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
134.5
Number of samples
207
Samples
Sample
Description
TPM
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
285.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
268.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
245.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
241.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
224.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
220.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
217.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
213.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
210.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
209.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
208.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
208.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
207.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
207.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
205.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
203.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
198.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
195.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
192.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
190.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
190.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
189.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
187.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
185.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
185.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
185.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
184.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
183.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
180.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
179.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
179.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
177.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
176.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
175.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
171.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
171.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
169.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
167.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
165.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
162.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
162.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
162.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
161.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
159.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
159.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
159.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
158.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
158.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
158.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
158.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
157.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
157.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
157.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
156.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
156.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
154.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
154.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
153.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
151.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
151.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
150.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
149.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
148.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
148.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
146.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
146.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
146.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
146.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
145.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
144.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
143.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
143.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
143.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
142.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
142.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
142.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
142.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
141.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
140.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
140.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
140.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
140.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
138.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
138.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
138.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
137.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
137.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
136.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
136.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
136.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
135.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
135.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
135.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
134.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
134.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
133.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
133.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
132.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
132.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
131.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
131.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
129.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
129.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
129.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
129.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
128.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
128.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
128.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
128.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
127.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
126.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
126.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
126.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
125.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
125.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
124.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
124.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
124.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
123.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
123.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
123.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
123.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
122.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
122.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
122.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
122.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
122.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
121.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
121.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
121.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
121.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
120.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
120.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
119.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
118.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
117.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
115.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
115.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
115.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
115.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
114.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
114.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
114.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
112.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
112.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
111.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
111.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
110.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
110.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
110.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
110.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
109.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
108.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
106.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
106.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
105.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
104.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
103.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
103.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
102.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
102.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
102.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
102.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
101.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
100.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
100.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
100.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
100.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
99.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
99.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
99.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
98.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
98.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
98.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
97.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
97.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
96.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
96.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
93.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
93.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
92.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
89.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
88.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
88.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
88.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
87.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
85.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
85.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
83.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
81.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
79.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
79.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
78.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
76.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
75.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
75.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
74.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
74.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
73.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
72.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
71.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
70.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
70.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
70.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
59.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
58.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
32.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
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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Normal
0.2
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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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Normal
0.2
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Normal
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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Tumor
0.2
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Normal
0.2
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Normal
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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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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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
0.0
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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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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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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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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
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Tumor
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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
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Normal
-0.1
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Normal
-0.1
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Tumor
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Normal
-0.1
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Normal
-0.1
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Normal
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Tumor
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Tumor
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Normal
-0.2
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
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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
-0.3
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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
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Normal
-0.4
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.6
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
