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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.
CYFIP1 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
43.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
94.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
79.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
74.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
73.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
70.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
69.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
68.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
68.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
66.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
66.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
65.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
64.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
64.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
64.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
64.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
64.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
63.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
62.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
62.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
62.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
61.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
61.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
60.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
60.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
59.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
59.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
59.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
59.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
58.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
58.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
57.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
57.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
57.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
57.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
56.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
56.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
56.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
56.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
56.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
55.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
55.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
54.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
54.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
54.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
54.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
54.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
54.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
53.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
53.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
53.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
53.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
53.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
53.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
53.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
52.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
52.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
52.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
52.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
52.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
52.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
52.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
51.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
51.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
51.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
51.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
51.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
51.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
50.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
50.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
50.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
50.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
50.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
50.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
50.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
50.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
50.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
50.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
49.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
49.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
49.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
49.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
48.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
48.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
48.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
48.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
48.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
48.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
47.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
47.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
47.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
47.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
47.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
47.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
47.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
46.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
46.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
46.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
46.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
45.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
45.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
45.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
45.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
45.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
44.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
44.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
44.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
44.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
44.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
44.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
44.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
44.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
44.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
44.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
44.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
44.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
43.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
43.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
43.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
43.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
43.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
43.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
43.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
42.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
42.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
42.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
42.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
42.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
42.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
42.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
42.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
42.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
42.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
42.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
41.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
41.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
41.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
41.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
41.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
41.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
41.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
40.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
40.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
40.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
40.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
40.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
40.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
40.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
40.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
39.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
39.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
39.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
39.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
39.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
39.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
39.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
39.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
39.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
38.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
38.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
38.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
38.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
38.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
38.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
38.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
38.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
38.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
37.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
37.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
37.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
37.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
37.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
37.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
37.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
36.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
36.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
36.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
36.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
36.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
36.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
35.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
35.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
35.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
35.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
35.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
34.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
34.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
34.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
34.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
34.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
34.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
33.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
33.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
33.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
33.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
33.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
32.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
32.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
32.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
32.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
32.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
32.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
32.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
32.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
31.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
31.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
31.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
31.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
30.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
30.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
30.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
30.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
30.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
30.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
30.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
29.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
29.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
29.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
29.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
29.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
29.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
28.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
28.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
28.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
28.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
27.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
27.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
27.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
26.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
26.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
26.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
26.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
26.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
25.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
25.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
25.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
24.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
24.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
24.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
24.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
24.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
23.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
23.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
23.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
23.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
22.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
22.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
21.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
21.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
20.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
18.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
18.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
18.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
15.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 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.
CYFIP1 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
41.1
Number of samples
486
Samples
Sample
Description
TPM
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
81.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
81.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
75.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
72.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
70.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
69.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
67.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
67.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
67.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
66.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
66.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
66.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
65.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
65.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
64.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
64.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
63.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
63.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
62.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
61.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
61.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
60.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
60.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
59.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
59.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
59.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
58.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
58.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
58.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
58.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
58.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
58.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
57.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
57.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
57.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
57.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
57.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
56.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
56.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
56.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
56.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
56.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
56.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
56.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
56.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
55.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
55.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
55.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
55.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
55.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
55.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
54.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
54.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
54.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
54.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
54.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
54.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
54.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
53.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
53.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
53.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
53.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
53.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
53.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
53.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
53.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
53.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
52.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
52.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
52.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
52.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
52.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
52.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
52.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
51.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
51.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
51.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
51.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
51.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
51.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
51.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
51.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
51.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
51.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
50.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
50.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
50.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
50.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
50.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
50.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
50.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
50.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
50.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
49.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
49.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
49.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
49.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
49.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
49.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
49.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
49.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
49.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
49.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
49.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
49.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
49.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
49.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
48.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
48.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
48.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
48.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
48.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
48.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
48.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
48.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
48.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
48.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
48.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
48.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
48.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
48.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
48.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
48.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
48.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
48.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
48.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
48.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
47.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
47.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
47.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
47.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
47.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
47.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
47.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
47.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
47.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
47.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
47.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
47.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
46.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
46.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
46.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
46.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
46.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
46.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
46.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
46.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
46.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
46.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
46.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
46.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
46.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
46.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
46.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
46.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
46.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
46.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
46.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
45.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
45.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
45.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
45.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
45.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
45.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
45.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
45.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
45.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
45.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
45.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
44.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
44.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
44.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
44.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
44.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
44.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
44.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
44.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
44.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
44.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
43.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
43.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
43.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
43.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
43.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
43.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
43.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
43.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
43.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
43.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
43.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
43.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
43.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
43.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
43.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
43.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
42.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
42.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
42.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
42.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
42.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
42.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
42.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
42.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
42.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
42.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
42.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
42.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
42.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
42.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
42.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
42.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
42.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
42.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
42.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
42.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
41.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
41.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
41.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
41.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
41.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
41.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
41.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
41.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
41.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
41.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
41.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
41.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
41.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
40.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
40.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
40.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
40.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
40.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
40.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
40.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
40.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
40.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
40.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
40.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
40.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
40.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
40.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
40.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
40.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
40.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
40.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
40.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
40.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
40.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
40.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
40.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
39.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
39.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
39.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
39.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
39.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
39.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
39.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
39.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
39.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
39.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
39.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
39.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
39.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
39.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
39.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
39.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
38.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
38.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
38.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
38.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
38.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
38.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
38.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
38.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
38.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
38.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
38.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
38.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
38.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
38.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
38.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
38.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
38.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
38.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
38.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
37.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
37.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
37.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
37.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
37.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
37.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
37.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
37.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
37.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
37.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
37.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
37.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
37.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
37.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
37.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
37.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
37.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
37.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
37.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
37.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
36.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
36.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
36.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
36.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
36.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
36.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
36.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
36.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
36.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
36.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
36.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
36.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
36.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
36.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
36.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
36.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
35.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
35.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
35.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
35.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
35.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
35.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
35.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
35.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
35.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
35.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
35.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
35.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
35.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
34.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
34.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
34.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
34.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
34.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
34.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
34.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
34.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
34.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
34.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
34.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
33.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
33.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
33.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
33.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
33.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
33.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
33.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
33.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
33.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
33.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
33.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
33.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
33.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
33.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
33.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
33.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
33.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
33.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
33.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
33.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
33.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
33.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
33.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
33.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
33.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
33.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
33.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
32.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
32.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
32.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
32.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
32.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
32.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
32.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
32.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
32.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
32.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
32.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
31.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
31.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
31.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
31.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
31.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
31.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
31.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
31.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
31.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
30.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
30.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
30.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
30.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
30.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
30.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
30.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
30.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
30.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
30.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
30.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
30.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
29.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
29.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
29.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
29.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
29.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
29.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
29.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
29.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
29.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
28.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
28.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
28.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
28.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
28.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
28.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
28.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
28.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
28.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
27.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
27.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
27.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
27.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
27.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
27.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
27.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
27.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
27.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
27.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
27.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
26.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
26.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
26.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
26.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
26.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
26.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
26.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
26.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
26.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
25.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
25.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
25.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
24.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
24.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
24.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
24.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
24.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
24.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
24.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
24.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
24.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
24.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
23.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
23.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
23.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
23.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
23.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
23.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
23.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
22.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
22.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
22.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
22.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
22.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
20.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
20.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
20.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
20.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
18.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
13.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
5.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.8
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.
CYFIP1 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
41.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
76.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
70.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
65.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
63.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
62.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
61.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
61.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
60.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
60.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
60.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
58.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
56.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
55.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
55.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
54.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
54.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
53.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
51.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
49.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
49.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
49.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
48.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
48.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
48.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
48.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
47.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
47.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
47.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
47.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
46.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
46.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
45.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
45.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
45.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
45.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
44.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
44.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
44.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
44.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
44.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
43.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
43.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
43.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
42.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
41.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
41.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
41.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
41.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
41.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
40.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
40.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
39.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
39.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
39.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
37.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
36.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
36.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
35.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
35.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
35.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
35.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
34.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
34.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
34.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
34.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
33.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
32.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
31.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
31.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
31.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
30.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
29.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
28.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
27.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
26.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
26.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
24.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
24.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
23.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
21.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
19.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
19.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
18.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
18.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
16.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
12.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
8.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CYFIP1 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
38.5
Number of samples
207
Samples
Sample
Description
TPM
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
70.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
69.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
65.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
64.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
63.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
62.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
60.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
58.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
57.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
55.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
54.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
54.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
53.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
53.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
52.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
52.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
52.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
52.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
51.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
51.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
51.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
51.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
50.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
50.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
50.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
49.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
49.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
49.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
49.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
49.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
48.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
48.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
47.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
47.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
47.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
47.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
47.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
47.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
47.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
47.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
46.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
46.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
45.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
45.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
45.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
45.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
45.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
45.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
44.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
44.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
44.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
44.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
44.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
44.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
44.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
44.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
44.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
44.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
44.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
43.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
43.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
43.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
43.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
43.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
43.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
42.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
42.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
42.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
42.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
42.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
42.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
41.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
41.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
41.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
41.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
41.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
41.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
41.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
41.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
41.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
41.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
40.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
40.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
40.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
40.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
40.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
40.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
40.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
40.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
40.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
40.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
40.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
39.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
39.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
39.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
38.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
38.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
38.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
38.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
37.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
37.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
37.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
37.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
37.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
37.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
37.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
36.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
36.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
36.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
36.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
36.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
36.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
36.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
36.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
35.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
35.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
35.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
35.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
35.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
35.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
35.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
35.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
35.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
35.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
34.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
34.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
34.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
34.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
34.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
34.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
34.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
34.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
34.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
34.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
34.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
34.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
34.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
34.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
34.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
33.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
33.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
33.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
33.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
33.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
33.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
33.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
33.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
32.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
32.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
32.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
32.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
32.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
32.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
32.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
32.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
32.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
32.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
32.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
31.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
31.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
31.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
31.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
31.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
31.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
30.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
30.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
29.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
29.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
29.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
29.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
29.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
29.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
29.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
29.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
28.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
28.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
28.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
28.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
28.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
28.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
27.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
27.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
27.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
27.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
27.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
27.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
26.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
26.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
26.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
25.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
24.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
24.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
24.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
23.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
23.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
23.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
22.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
22.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
22.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
22.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
22.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
21.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
20.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
18.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
17.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
17.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
17.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
