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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.
TPP2 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
12.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
52.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
45.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
44.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
35.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
33.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
32.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
28.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
26.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
24.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
23.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
23.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
23.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
22.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
21.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
21.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
21.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
21.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
20.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
20.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
20.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
20.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
19.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
19.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
19.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
19.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
19.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
19.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
19.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
19.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
19.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
19.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
19.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
19.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
18.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
18.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
18.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
18.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
18.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
18.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
17.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
17.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
17.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
17.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
17.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
16.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
16.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
16.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
16.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
16.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
16.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
16.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
15.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
15.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
15.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
15.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
15.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
15.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
15.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
15.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
15.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
15.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
15.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
15.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
14.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
14.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
14.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
14.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
14.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
14.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
14.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
14.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
14.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
14.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
14.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
14.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
14.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
14.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
14.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
14.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
14.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
14.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
14.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
14.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
14.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
13.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
13.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
13.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
13.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
13.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
13.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
13.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
13.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
13.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
13.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
13.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
13.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
12.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
12.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
12.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
12.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
12.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
12.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
12.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
12.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
12.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
12.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
12.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
12.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
12.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
12.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
12.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
12.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
12.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
11.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
11.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
11.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
11.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
11.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
11.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
11.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
11.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
11.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
10.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
10.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
10.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
10.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
10.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
10.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
10.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
10.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
10.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
10.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
10.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
10.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
10.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
10.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
10.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
10.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
10.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
9.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
9.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
9.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
9.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
9.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
9.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
9.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
9.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
9.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
9.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
9.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
9.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
9.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
9.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
9.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
9.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
9.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
9.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
9.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
9.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
9.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
9.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
9.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
9.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
9.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
8.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
8.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
8.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
8.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
8.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
8.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
8.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
8.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
8.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
8.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
8.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
8.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
8.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
8.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
8.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
8.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
8.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
8.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
8.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
8.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
8.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
8.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
7.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
7.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
7.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
7.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
7.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
7.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
7.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
7.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
7.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
7.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
7.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
7.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
7.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
7.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
7.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
7.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
7.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
7.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
7.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
7.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
7.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
7.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
7.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
7.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
7.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
6.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
6.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
6.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
6.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
6.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
6.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
6.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
6.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
6.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
6.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
6.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
6.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
6.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
6.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
6.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
5.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
5.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
5.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
5.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
5.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
5.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
5.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
5.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
5.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
5.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
5.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
5.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
5.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
5.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
4.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
4.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
4.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
4.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
4.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
4.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
4.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
4.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
3.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
3.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
3.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
3.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
3.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 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.
TPP2 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
35.1
Number of samples
486
Samples
Sample
Description
TPM
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
110.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
90.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
88.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
79.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
77.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
75.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
74.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
73.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
71.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
69.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
69.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
68.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
66.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
63.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
63.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
62.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
60.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
59.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
59.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
59.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
59.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
59.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
58.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
57.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
57.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
55.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
55.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
54.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
53.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
52.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
52.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
52.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
52.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
51.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
51.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
51.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
50.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
50.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
50.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
49.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
49.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
49.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
49.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
49.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
48.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
48.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
48.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
48.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
48.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
48.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
48.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
48.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
48.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
48.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
47.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
47.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
47.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
47.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
47.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
47.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
47.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
46.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
46.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
46.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
46.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
46.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
46.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
46.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
46.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
46.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
45.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
45.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
45.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
45.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
45.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
45.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
44.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
44.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
44.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
44.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
44.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
44.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
43.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
43.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
43.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
43.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
43.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
43.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
42.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
42.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
42.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
42.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
42.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
42.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
42.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
42.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
42.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
42.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
42.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
42.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
42.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
41.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
41.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
41.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
41.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
41.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
41.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
41.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
41.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
41.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
41.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
41.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
41.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
40.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
40.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
40.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
40.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
40.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
40.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
40.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
40.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
40.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
39.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
39.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
39.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
39.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
39.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
39.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
39.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
39.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
39.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
38.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
38.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
38.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
38.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
38.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
38.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
38.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
38.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
38.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
38.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
38.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
38.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
38.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
38.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
37.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
37.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
37.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
37.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
37.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
37.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
37.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
37.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
37.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
37.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
37.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
37.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
37.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
37.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
37.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
36.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
36.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
36.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
36.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
36.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
36.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
36.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
36.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
36.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
36.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
36.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
36.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
36.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
36.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
36.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
36.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
36.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
36.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
36.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
35.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
35.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
35.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
35.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
35.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
35.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
35.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
35.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
35.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
35.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
35.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
35.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
35.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
35.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
35.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
35.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
34.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
34.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
34.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
34.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
34.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
34.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
34.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
34.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
34.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
34.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
34.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
34.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
34.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
34.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
34.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
34.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
33.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
33.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
33.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
33.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
33.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
33.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
33.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
33.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
33.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
33.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
33.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
33.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
33.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
33.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
33.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
33.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
33.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
33.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
33.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
32.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
32.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
32.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
32.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
32.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
32.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
32.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
32.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
32.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
32.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
32.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
32.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
32.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
32.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
32.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
32.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
32.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
32.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
32.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
32.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
32.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
32.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
32.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
32.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
32.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
31.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
31.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
31.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
31.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
31.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
31.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
31.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
31.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
31.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
31.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
31.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
31.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
31.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
31.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
31.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
31.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
31.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
31.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
31.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
31.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
30.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
30.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
30.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
30.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
30.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
30.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
30.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
30.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
30.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
30.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
30.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
30.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
30.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
30.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
30.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
30.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
30.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
30.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
30.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
30.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
30.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
30.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
30.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
30.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
30.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
30.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
30.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
30.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
29.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
29.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
29.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
29.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
29.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
29.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
29.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
29.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
29.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
29.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
29.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
29.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
29.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
29.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
29.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
29.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
29.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
29.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
29.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
29.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
29.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
29.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
29.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
29.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
29.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
29.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
28.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
28.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
28.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
28.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
28.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
28.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
28.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
28.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
28.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
28.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
28.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
28.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
28.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
28.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
28.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
28.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
28.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
28.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
28.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
28.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
28.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
28.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
28.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
28.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
28.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
28.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
28.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
27.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
27.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
27.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
27.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
27.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
27.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
27.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
27.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
27.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
27.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
27.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
27.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
27.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
27.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
27.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
27.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
27.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
27.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
27.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
27.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
27.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
27.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
27.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
27.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
27.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
27.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
27.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
27.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
27.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
26.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
26.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
26.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
26.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
26.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
26.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
26.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
26.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
26.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
26.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
26.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
26.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
26.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
26.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
26.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
26.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
26.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
26.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
26.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
26.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
26.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
26.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
25.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
25.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
25.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
25.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
25.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
25.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
25.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
25.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
25.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
25.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
25.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
25.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
25.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
25.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
25.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
25.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
25.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
25.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
25.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
25.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
25.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
24.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
24.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
24.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
24.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
24.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
24.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
24.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
24.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
24.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
24.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
24.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
24.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
23.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
23.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
23.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
23.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
23.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
23.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
23.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
23.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
23.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
22.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
22.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
22.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
22.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
22.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
22.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
22.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
21.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
21.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
21.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
21.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
21.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
21.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
21.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
20.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
20.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
20.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
20.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
20.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
20.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
19.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
19.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
19.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
19.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
19.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
19.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
18.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
17.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
17.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
16.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
15.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
15.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
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.
TPP2 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
12.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
35.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
28.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
24.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
22.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
22.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
21.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
21.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
21.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
21.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
20.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
19.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
19.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
18.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
18.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
17.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
17.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
17.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
16.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
16.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
16.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
16.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
15.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
15.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
15.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
14.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
14.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
14.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
14.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
13.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
13.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
13.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
13.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
13.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
13.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
12.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
12.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
12.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
12.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
12.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
12.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
12.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
12.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
12.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
12.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
11.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
11.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
11.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
11.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
11.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
11.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
11.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
10.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
10.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
10.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
10.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
10.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
10.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
10.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
9.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
9.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
9.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
9.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
9.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
8.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
8.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
8.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
8.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
8.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
8.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
8.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
8.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
7.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
7.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
7.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
7.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
7.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
7.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
6.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
6.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
6.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
5.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
5.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
5.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
4.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
3.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
3.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
2.8
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.
TPP2 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
36.5
Number of samples
207
Samples
Sample
Description
TPM
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
82.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
77.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
71.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
67.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
63.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
62.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
61.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
60.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
59.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
59.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
59.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
59.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
58.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
57.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
56.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
56.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
56.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
55.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
55.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
54.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
53.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
51.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
51.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
50.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
49.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
48.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
48.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
48.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
47.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
47.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
47.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
47.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
47.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
46.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
46.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
46.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
46.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
46.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
45.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
45.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
45.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
45.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
44.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
43.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
43.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
43.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
42.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
42.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
42.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
42.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
42.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
42.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
42.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
42.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
42.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
41.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
41.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
41.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
41.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
41.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
41.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
41.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
40.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
39.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
39.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
39.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
39.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
39.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
39.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
39.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
39.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
39.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
39.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
38.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
38.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
38.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
37.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
37.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
37.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
37.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
37.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
37.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
37.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
37.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
37.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
36.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
36.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
36.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
36.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
35.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
35.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
35.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
35.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
35.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
35.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
35.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
34.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
34.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
34.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
34.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
34.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
34.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
34.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
34.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
33.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
33.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
33.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
33.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
33.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
33.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
32.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
32.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
32.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
32.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
32.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
32.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
32.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
32.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
32.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
32.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
32.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
32.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
31.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
31.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
31.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
31.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
31.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
31.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
31.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
31.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
31.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
31.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
30.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
30.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
30.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
30.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
30.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
30.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
30.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
30.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
30.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
30.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
30.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
30.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
30.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
29.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
29.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
29.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
29.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
29.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
29.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
28.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
28.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
28.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
28.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
28.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
28.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
28.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
28.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
28.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
28.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
28.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
28.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
27.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
27.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
27.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
27.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
27.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
27.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
27.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
27.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
26.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
26.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
26.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
25.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
25.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
25.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
25.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
25.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
24.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
24.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
24.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
24.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
24.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
24.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
24.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
24.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
23.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
23.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
23.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
23.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
22.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
22.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
22.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
22.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
22.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
21.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
21.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
21.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
20.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
20.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
19.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
17.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
14.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
1.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.8
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.7
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
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Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
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Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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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
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
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Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
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Normal
0.1
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Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_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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Tumor
0.1
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Normal
0.1
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Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
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Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
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Normal
0.0
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Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
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Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
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Normal
0.0
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Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
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Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
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Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
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
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
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
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
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Tumor
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
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Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
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
