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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.
FARP1 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
29.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
99.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
81.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
79.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
78.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
75.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
74.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
72.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
71.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
69.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
68.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
68.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
68.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
65.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
65.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
63.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
61.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
59.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
59.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
59.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
57.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
56.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
56.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
56.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
56.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
56.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
55.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
51.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
50.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
50.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
50.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
50.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
50.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
49.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
49.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
49.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
48.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
48.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
48.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
48.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
48.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
47.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
47.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
47.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
46.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
45.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
45.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
45.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
45.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
45.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
45.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
45.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
44.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
43.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
43.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
43.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
43.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
42.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
41.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
41.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
41.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
40.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
39.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
39.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
39.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
39.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
38.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
38.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
38.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
37.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
36.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
36.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
36.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
35.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
35.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
34.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
34.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
34.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
34.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
34.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
34.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
34.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
33.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
33.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
33.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
33.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
33.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
33.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
32.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
32.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
32.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
32.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
32.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
32.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
31.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
31.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
31.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
31.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
31.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
31.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
31.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
30.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
30.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
29.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
29.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
29.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
29.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
29.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
29.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
29.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
29.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
29.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
28.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
28.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
28.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
28.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
28.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
28.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
27.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
27.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
27.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
27.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
26.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
26.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
26.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
26.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
26.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
26.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
26.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
26.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
25.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
25.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
25.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
25.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
24.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
24.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
24.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
24.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
24.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
23.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
23.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
23.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
23.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
23.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
23.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
23.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
23.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
23.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
23.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
23.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
23.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
23.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
22.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
22.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
22.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
22.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
22.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
21.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
21.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
21.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
21.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
21.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
21.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
21.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
21.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
21.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
20.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
20.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
20.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
19.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
19.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
19.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
18.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
18.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
18.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
18.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
18.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
18.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
17.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
17.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
17.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
17.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
17.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
17.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
17.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
17.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
17.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
17.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
17.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
17.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
16.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
16.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
16.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
16.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
16.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
15.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
15.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
15.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
14.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
14.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
14.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
14.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
14.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
14.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
13.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
13.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
13.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
13.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
13.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
13.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
13.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
13.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
12.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
12.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
12.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
12.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
11.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
11.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
11.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
11.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
11.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
11.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
11.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
10.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
10.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
10.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
10.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
9.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
9.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
9.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
9.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
9.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
8.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
8.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
7.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
7.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
6.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
6.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
6.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
5.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
5.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
5.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
4.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
4.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
4.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
3.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
3.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
3.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
2.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
2.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
2.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
2.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 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.
FARP1 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
48.0
Number of samples
486
Samples
Sample
Description
TPM
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
177.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
144.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
140.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
140.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
134.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
132.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
130.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
126.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
122.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
121.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
115.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
111.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
110.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
107.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
106.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
105.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
104.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
102.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
102.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
101.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
101.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
99.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
99.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
97.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
96.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
96.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
95.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
95.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
93.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
92.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
91.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
91.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
89.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
89.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
87.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
86.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
85.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
85.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
84.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
84.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
83.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
83.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
83.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
82.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
82.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
81.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
81.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
80.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
80.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
80.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
79.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
79.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
79.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
79.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
78.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
78.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
78.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
78.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
77.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
77.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
77.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
76.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
76.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
76.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
76.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
75.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
75.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
75.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
74.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
74.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
74.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
74.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
73.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
73.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
73.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
73.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
72.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
72.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
72.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
71.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
71.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
71.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
70.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
70.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
69.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
69.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
69.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
69.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
68.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
68.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
68.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
68.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
68.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
68.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
68.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
67.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
67.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
67.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
67.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
67.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
67.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
67.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
67.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
67.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
66.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
66.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
66.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
66.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
65.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
65.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
65.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
65.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
64.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
64.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
64.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
64.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
63.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
63.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
63.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
62.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
62.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
62.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
62.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
62.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
62.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
61.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
61.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
60.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
60.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
60.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
60.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
59.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
59.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
59.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
59.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
59.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
58.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
58.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
58.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
58.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
58.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
58.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
58.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
58.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
57.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
57.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
57.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
56.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
56.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
56.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
56.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
56.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
56.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
55.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
55.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
55.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
55.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
55.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
54.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
54.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
54.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
54.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
54.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
54.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
54.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
54.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
53.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
53.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
53.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
53.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
53.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
53.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
53.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
53.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
53.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
53.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
53.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
52.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
52.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
52.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
52.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
52.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
52.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
52.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
52.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
51.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
51.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
51.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
50.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
50.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
50.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
50.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
49.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
49.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
49.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
49.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
49.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
49.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
49.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
49.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
49.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
49.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
49.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
48.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
48.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
48.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
48.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
48.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
48.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
48.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
48.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
47.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
47.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
47.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
47.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
47.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
47.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
47.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
47.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
47.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
47.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
46.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
46.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
46.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
46.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
46.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
46.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
45.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
45.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
45.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
45.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
45.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
45.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
45.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
45.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
44.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
44.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
44.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
44.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
44.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
44.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
44.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
44.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
44.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
43.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
43.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
43.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
43.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
42.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
42.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
42.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
42.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
42.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
42.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
41.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
41.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
41.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
41.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
41.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
41.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
41.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
41.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
41.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
41.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
41.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
40.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
40.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
39.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
39.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
39.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
39.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
39.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
39.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
39.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
38.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
38.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
38.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
38.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
38.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
38.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
38.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
38.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
37.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
37.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
37.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
37.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
37.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
37.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
37.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
36.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
36.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
36.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
36.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
36.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
36.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
36.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
36.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
36.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
36.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
36.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
36.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
35.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
35.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
35.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
35.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
35.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
35.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
35.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
35.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
34.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
34.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
34.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
34.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
34.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
34.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
34.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
34.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
34.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
33.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
33.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
33.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
33.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
33.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
33.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
33.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
33.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
33.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
33.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
32.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
32.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
32.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
32.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
32.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
32.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
32.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
32.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
32.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
32.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
32.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
31.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
31.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
31.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
31.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
31.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
31.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
31.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
31.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
31.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
30.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
30.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
30.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
30.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
30.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
29.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
29.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
29.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
29.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
29.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
29.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
29.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
29.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
29.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
29.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
28.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
28.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
28.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
28.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
28.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
28.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
27.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
27.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
27.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
27.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
27.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
27.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
27.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
27.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
27.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
27.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
26.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
26.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
26.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
26.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
26.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
26.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
26.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
26.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
26.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
26.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
26.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
26.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
26.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
26.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
25.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
25.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
25.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
25.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
25.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
25.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
25.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
25.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
24.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
24.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
24.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
24.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
24.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
24.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
24.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
24.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
23.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
23.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
23.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
23.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
23.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
23.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
22.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
22.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
22.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
22.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
22.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
22.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
21.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
21.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
21.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
21.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
21.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
21.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
21.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
21.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
21.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
21.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
20.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
20.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
20.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
20.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
20.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
20.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
20.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
20.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
19.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
19.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
19.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
19.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
19.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
19.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
19.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
19.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
18.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
18.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
18.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
17.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
17.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
16.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
16.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
16.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
16.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
16.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
16.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
15.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
15.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
15.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
14.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
14.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
14.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
14.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
13.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
13.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
13.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
13.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
12.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
12.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
11.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
11.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
11.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
10.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
10.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
9.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
7.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
7.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
7.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
7.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
5.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
4.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.3
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.
FARP1 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
32.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
79.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
73.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
62.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
60.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
60.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
55.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
54.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
50.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
49.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
49.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
49.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
48.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
45.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
44.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
43.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
42.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
41.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
41.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
41.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
41.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
40.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
39.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
39.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
39.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
38.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
38.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
38.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
38.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
37.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
37.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
37.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
36.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
36.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
36.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
35.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
35.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
35.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
35.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
34.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
34.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
34.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
34.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
33.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
33.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
33.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
32.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
31.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
30.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
30.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
30.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
30.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
28.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
28.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
28.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
27.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
27.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
27.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
27.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
27.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
26.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
26.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
25.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
25.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
24.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
23.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
23.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
23.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
23.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
20.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
19.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
19.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
19.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
18.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
17.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
17.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
17.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
15.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
15.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
14.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
14.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
12.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
11.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
10.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
9.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
6.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
6.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
6.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 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.
FARP1 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
53.6
Number of samples
207
Samples
Sample
Description
TPM
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
145.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
144.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
121.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
110.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
110.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
108.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
106.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
103.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
101.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
97.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
96.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
96.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
95.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
93.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
93.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
91.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
90.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
89.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
88.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
87.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
86.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
85.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
84.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
84.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
83.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
83.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
82.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
82.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
81.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
79.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
78.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
77.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
77.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
76.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
76.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
76.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
76.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
75.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
75.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
74.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
73.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
73.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
73.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
72.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
72.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
72.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
71.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
71.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
71.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
71.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
70.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
70.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
69.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
68.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
68.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
68.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
67.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
67.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
65.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
65.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
63.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
63.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
62.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
62.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
61.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
61.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
61.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
61.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
60.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
60.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
60.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
59.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
59.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
59.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
59.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
58.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
58.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
58.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
58.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
56.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
56.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
56.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
55.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
55.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
55.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
55.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
54.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
53.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
53.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
52.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
52.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
52.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
52.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
51.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
51.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
51.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
51.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
51.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
51.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
50.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
50.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
50.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
49.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
49.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
49.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
48.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
48.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
48.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
48.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
48.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
48.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
47.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
47.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
47.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
47.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
46.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
46.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
46.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
46.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
46.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
46.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
45.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
45.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
45.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
45.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
44.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
44.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
44.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
44.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
44.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
43.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
42.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
42.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
42.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
42.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
41.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
41.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
40.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
40.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
39.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
39.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
39.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
39.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
39.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
37.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
37.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
37.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
37.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
37.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
37.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
37.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
37.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
36.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
36.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
36.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
36.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
36.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
35.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
35.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
35.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
35.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
35.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
35.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
34.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
34.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
34.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
34.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
34.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
33.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
32.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
32.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
32.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
31.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
31.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
30.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
30.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
30.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
29.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
28.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
28.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
27.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
26.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
26.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
25.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
25.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
24.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
24.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
23.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
22.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
22.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
20.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
20.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
18.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
17.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
17.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
16.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
16.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
16.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
16.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
13.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
11.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
10.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
9.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
6.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
4.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
1.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
1.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.8
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.8
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.7
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.8
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.9
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.1
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.
The Human Protein Atlas project is funded
