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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.
PPFIBP1 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
12.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
80.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
59.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
50.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
43.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
42.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
41.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
40.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
39.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
37.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
36.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
33.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
32.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
31.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
29.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
29.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
28.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
28.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
27.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
25.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
24.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
24.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
24.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
23.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
23.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
22.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
22.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
22.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
21.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
21.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
20.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
19.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
19.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
19.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
19.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
18.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
18.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
18.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
18.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
18.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
18.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
18.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
18.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
18.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
17.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
17.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
17.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
17.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
17.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
17.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
16.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
16.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
16.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
16.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
15.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
15.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
15.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
15.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
15.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
15.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
15.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
15.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
15.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
15.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
15.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
15.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
14.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
14.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
14.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
14.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
14.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
14.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
14.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
13.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
13.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
13.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
13.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
13.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
13.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
13.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
13.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
13.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
13.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
12.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
12.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
12.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
12.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
12.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
12.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
12.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
12.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
12.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
12.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
12.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
11.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
11.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
11.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
11.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
11.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
11.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
11.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
11.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
11.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
11.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
11.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
11.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
11.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
11.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
11.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
10.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
10.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
10.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
10.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
10.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
10.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
10.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
10.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
10.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
10.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
10.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
10.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
10.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
10.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
10.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
10.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
10.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
10.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
9.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
9.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
9.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
9.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
9.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
9.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
9.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
9.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
9.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
9.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
9.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
9.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
9.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
9.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
9.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
9.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
9.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
9.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
9.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
9.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
9.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
9.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
9.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
9.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
9.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
8.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
8.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
8.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
8.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
8.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
8.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
8.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
8.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
8.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
8.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
8.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
8.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
8.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
8.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
8.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
8.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
8.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
8.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
8.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
8.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
8.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
8.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
7.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
7.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
7.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
7.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
7.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
7.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
7.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
7.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
7.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
7.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
7.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
7.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
7.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
7.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
7.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
7.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
7.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
7.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
7.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
7.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
6.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
6.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
6.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
6.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
6.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
6.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
6.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
6.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
6.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
6.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
6.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
6.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
6.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
6.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
6.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
6.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
6.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
6.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
6.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
6.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
6.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
6.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
5.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
5.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
5.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
5.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
5.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
5.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
5.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
5.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
5.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
5.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
5.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
5.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
5.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
5.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
5.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
5.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
4.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
4.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
4.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
4.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
4.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
4.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
4.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
4.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
4.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
4.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
4.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
4.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
4.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
4.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
4.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
4.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
4.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
4.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
3.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
3.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
3.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 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.
PPFIBP1 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
45.5
Number of samples
486
Samples
Sample
Description
TPM
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
151.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
135.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
122.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
121.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
117.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
111.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
111.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
106.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
104.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
101.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
97.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
95.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
93.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
93.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
92.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
88.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
88.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
87.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
85.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
84.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
80.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
80.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
79.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
77.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
76.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
76.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
75.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
75.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
75.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
74.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
74.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
74.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
74.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
73.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
73.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
72.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
72.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
71.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
71.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
71.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
71.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
71.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
70.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
70.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
69.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
69.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
68.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
68.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
66.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
66.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
66.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
66.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
65.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
64.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
63.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
63.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
63.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
63.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
62.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
61.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
61.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
61.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
60.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
60.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
60.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
60.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
60.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
60.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
60.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
59.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
59.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
59.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
59.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
59.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
59.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
59.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
59.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
58.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
58.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
58.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
58.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
58.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
57.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
57.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
57.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
57.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
57.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
57.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
57.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
57.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
57.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
56.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
56.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
56.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
55.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
55.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
55.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
55.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
55.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
55.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
55.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
54.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
54.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
54.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
54.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
53.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
53.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
53.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
53.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
53.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
53.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
53.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
53.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
53.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
52.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
52.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
52.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
52.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
52.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
51.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
51.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
51.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
51.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
51.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
51.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
51.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
50.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
50.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
50.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
50.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
50.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
50.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
50.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
50.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
50.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
50.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
49.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
49.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
49.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
49.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
49.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
49.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
49.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
49.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
49.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
49.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
48.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
48.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
48.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
48.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
48.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
48.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
48.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
48.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
48.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
48.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
48.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
48.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
48.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
48.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
48.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
48.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
47.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
47.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
47.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
47.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
47.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
47.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
46.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
46.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
46.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
46.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
46.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
46.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
46.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
46.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
46.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
46.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
46.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
46.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
45.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
45.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
45.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
45.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
45.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
45.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
45.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
45.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
45.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
45.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
44.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
44.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
44.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
44.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
44.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
44.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
44.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
44.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
44.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
44.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
44.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
44.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
44.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
44.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
44.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
44.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
44.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
43.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
43.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
43.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
43.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
43.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
43.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
43.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
43.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
43.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
43.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
43.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
43.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
42.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
42.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
42.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
42.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
42.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
42.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
42.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
42.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
42.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
42.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
42.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
42.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
42.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
41.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
41.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
41.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
41.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
41.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
41.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
41.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
41.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
40.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
40.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
40.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
40.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
40.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
40.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
40.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
40.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
40.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
40.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
40.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
40.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
40.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
40.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
40.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
40.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
40.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
40.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
40.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
40.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
40.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
40.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
40.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
40.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
40.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
40.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
39.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
39.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
39.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
39.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
39.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
39.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
39.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
39.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
39.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
39.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
39.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
39.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
39.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
39.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
39.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
39.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
39.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
38.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
38.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
38.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
38.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
38.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
38.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
38.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
38.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
38.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
38.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
38.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
38.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
38.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
38.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
38.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
38.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
38.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
38.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
38.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
37.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
37.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
37.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
37.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
37.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
37.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
37.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
37.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
37.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
37.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
37.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
37.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
37.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
37.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
37.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
36.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
36.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
36.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
36.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
36.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
36.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
36.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
36.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
36.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
36.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
36.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
36.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
35.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
35.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
35.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
35.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
35.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
35.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
35.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
35.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
35.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
35.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
35.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
35.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
35.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
35.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
35.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
35.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
35.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
35.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
35.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
35.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
35.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
35.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
35.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
35.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
35.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
35.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
34.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
34.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
34.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
34.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
34.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
34.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
34.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
34.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
34.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
34.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
34.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
34.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
33.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
33.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
33.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
33.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
33.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
33.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
33.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
33.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
33.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
33.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
33.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
33.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
33.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
33.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
33.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
33.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
33.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
33.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
33.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
32.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
32.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
32.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
32.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
32.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
32.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
32.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
32.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
32.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
32.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
32.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
32.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
32.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
31.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
31.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
31.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
31.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
31.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
31.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
31.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
31.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
31.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
31.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
31.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
31.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
31.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
31.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
30.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
30.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
30.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
30.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
30.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
30.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
30.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
30.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
30.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
30.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
30.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
29.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
29.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
29.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
29.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
29.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
29.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
29.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
29.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
29.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
29.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
29.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
29.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
29.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
29.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
28.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
28.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
28.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
28.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
28.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
28.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
28.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
27.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
27.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
27.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
27.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
27.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
26.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
26.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
26.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
26.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
26.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
26.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
26.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
26.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
26.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
25.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
25.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
25.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
25.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
25.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
24.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
24.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
24.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
24.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
24.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
24.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
24.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
23.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
22.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
22.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
22.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
22.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
21.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
19.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PPFIBP1 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
11.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
41.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
35.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
27.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
27.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
25.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
25.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
22.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
21.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
19.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
19.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
19.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
19.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
18.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
18.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
17.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
16.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
15.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
14.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
14.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
13.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
13.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
13.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
13.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
13.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
12.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
12.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
12.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
12.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
12.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
11.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
11.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
11.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
11.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
11.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
11.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
11.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
10.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
10.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
10.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
10.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
10.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
10.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
10.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
10.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
9.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
9.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
9.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
9.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
9.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
8.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
8.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
8.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
8.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
8.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
8.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
8.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
7.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
7.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
7.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
7.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
7.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
7.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
6.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
6.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
6.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
6.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
6.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
6.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
6.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
6.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
5.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
5.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
5.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
5.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
5.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
5.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
5.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
5.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
5.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
4.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
4.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
4.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
3.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
3.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
2.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
2.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PPFIBP1 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
40.3
Number of samples
207
Samples
Sample
Description
TPM
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
121.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
101.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
100.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
90.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
74.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
74.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
67.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
66.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
65.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
65.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
64.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
64.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
63.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
62.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
62.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
61.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
59.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
59.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
59.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
58.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
57.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
57.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
57.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
57.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
57.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
57.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
56.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
55.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
54.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
54.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
53.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
53.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
53.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
52.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
51.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
50.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
50.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
50.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
49.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
49.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
49.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
48.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
48.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
48.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
48.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
48.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
47.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
47.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
47.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
46.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
46.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
46.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
45.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
45.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
45.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
45.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
44.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
44.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
44.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
44.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
44.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
43.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
43.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
43.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
42.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
42.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
42.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
42.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
42.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
42.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
41.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
41.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
41.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
41.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
40.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
40.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
40.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
40.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
40.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
40.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
40.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
40.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
40.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
40.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
39.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
39.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
39.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
38.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
38.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
38.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
38.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
38.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
38.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
38.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
38.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
37.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
37.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
37.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
37.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
37.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
37.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
37.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
37.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
37.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
37.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
36.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
36.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
36.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
36.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
36.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
36.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
36.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
36.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
36.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
35.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
35.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
35.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
35.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
35.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
35.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
35.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
34.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
34.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
34.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
34.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
34.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
34.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
34.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
34.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
34.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
34.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
33.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
33.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
33.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
33.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
33.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
33.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
32.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
32.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
32.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
32.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
32.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
32.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
32.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
32.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
32.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
31.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
31.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
31.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
31.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
31.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
31.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
30.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
30.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
30.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
30.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
30.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
30.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
30.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
30.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
30.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
30.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
30.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
30.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
30.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
30.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
29.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
29.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
29.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
29.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
28.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
28.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
28.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
28.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
28.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
28.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
27.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
27.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
27.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
27.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
27.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
26.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
26.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
26.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
26.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
26.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
26.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
26.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
25.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
25.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
25.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
25.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
25.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
25.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
25.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
24.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
24.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
23.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
23.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
22.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
21.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
20.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
20.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
20.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
17.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
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Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
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Normal
0.2
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Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
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Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
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Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
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Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
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Normal
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
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Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
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Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
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Tumor
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
