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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.
PHC3 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
7.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
38.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
25.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
22.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
21.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
20.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
19.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
18.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
17.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
17.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
16.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
16.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
16.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
15.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
15.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
14.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
14.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
14.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
14.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
13.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
13.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
13.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
13.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
13.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
12.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
12.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
12.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
12.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
12.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
12.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
12.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
12.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
11.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
11.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
11.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
11.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
11.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
11.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
11.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
10.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
10.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
10.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
10.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
10.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
10.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
10.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
10.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
10.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
10.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
10.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
9.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
9.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
9.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
9.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
9.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
9.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
9.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
9.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
9.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
9.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
9.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
9.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
9.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
9.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
9.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
9.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
9.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
9.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
9.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
9.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
9.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
9.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
9.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
8.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
8.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
8.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
8.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
8.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
8.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
8.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
8.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
8.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
8.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
8.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
8.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
8.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
8.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
8.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
8.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
8.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
8.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
8.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
8.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
7.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
7.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
7.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
7.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
7.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
7.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
7.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
7.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
7.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
7.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
7.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
7.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
7.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
7.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
7.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
7.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
7.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
7.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
7.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
7.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
7.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
7.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
7.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
7.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
7.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
7.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
7.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
7.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
7.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
7.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
7.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
7.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
7.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
7.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
7.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
6.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
6.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
6.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
6.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
6.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
6.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
6.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
6.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
6.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
6.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
6.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
6.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
6.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
6.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
6.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
6.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
6.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
6.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
6.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
6.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
6.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
6.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
6.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
6.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
6.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
6.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
6.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
6.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
6.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
6.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
6.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
6.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
6.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
6.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
6.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
6.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
5.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
5.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
5.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
5.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
5.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
5.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
5.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
5.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
5.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
5.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
5.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
5.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
5.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
5.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
5.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
5.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
5.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
5.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
5.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
5.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
5.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
5.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
5.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
5.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
5.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
5.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
5.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
5.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
5.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
5.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
5.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
5.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
5.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
5.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
5.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
5.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
4.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
4.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
4.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
4.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
4.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
4.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
4.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
4.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
4.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
4.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
4.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
4.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
4.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
4.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
4.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
4.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
4.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
4.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
4.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
4.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
4.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
4.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
4.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
4.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
4.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
4.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
4.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
4.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
4.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
4.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
4.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
4.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
4.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
4.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
4.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
3.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
3.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
3.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
3.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
3.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
3.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
3.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
3.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
3.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
3.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
3.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
3.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
3.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
2.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
2.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 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.
PHC3 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
64.3
Number of samples
486
Samples
Sample
Description
TPM
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
132.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
129.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
124.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
110.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
103.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
102.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
100.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
99.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
96.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
96.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
95.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
94.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
93.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
92.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
91.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
91.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
90.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
89.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
89.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
88.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
88.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
87.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
86.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
86.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
86.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
86.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
85.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
85.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
85.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
84.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
83.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
82.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
82.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
82.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
81.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
81.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
81.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
81.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
81.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
81.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
81.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
80.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
80.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
80.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
80.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
80.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
80.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
79.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
79.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
79.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
79.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
79.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
79.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
79.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
79.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
79.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
79.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
79.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
78.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
78.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
77.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
77.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
77.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
77.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
77.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
77.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
77.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
77.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
77.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
77.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
76.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
76.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
76.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
76.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
76.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
76.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
76.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
76.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
75.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
75.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
75.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
75.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
75.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
75.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
75.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
75.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
75.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
74.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
74.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
74.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
74.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
74.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
74.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
74.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
74.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
74.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
74.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
74.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
73.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
73.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
73.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
73.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
73.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
73.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
73.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
73.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
73.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
73.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
72.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
72.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
72.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
72.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
72.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
72.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
72.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
72.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
71.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
71.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
71.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
71.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
71.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
71.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
70.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
70.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
70.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
70.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
70.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
70.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
70.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
70.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
70.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
70.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
69.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
69.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
69.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
69.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
69.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
69.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
69.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
69.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
69.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
69.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
69.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
69.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
68.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
68.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
68.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
68.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
68.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
68.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
68.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
68.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
68.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
68.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
68.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
68.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
68.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
67.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
67.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
67.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
67.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
67.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
67.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
67.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
67.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
67.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
67.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
67.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
67.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
67.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
67.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
67.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
67.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
67.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
67.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
67.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
67.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
66.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
66.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
66.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
66.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
66.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
66.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
66.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
66.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
66.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
66.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
66.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
66.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
66.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
66.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
66.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
66.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
66.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
66.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
66.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
66.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
66.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
65.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
65.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
65.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
65.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
65.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
65.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
65.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
65.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
65.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
65.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
65.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
65.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
65.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
65.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
65.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
65.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
65.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
65.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
65.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
65.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
65.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
65.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
64.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
64.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
64.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
64.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
64.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
64.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
64.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
64.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
64.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
64.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
64.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
64.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
64.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
64.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
64.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
63.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
63.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
63.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
63.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
63.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
63.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
63.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
63.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
63.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
63.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
63.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
63.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
63.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
63.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
63.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
62.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
62.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
62.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
62.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
62.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
62.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
62.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
62.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
62.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
62.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
62.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
62.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
62.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
62.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
61.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
61.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
61.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
61.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
61.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
61.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
61.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
61.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
61.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
61.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
61.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
61.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
61.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
61.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
61.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
60.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
60.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
60.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
60.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
60.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
60.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
60.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
60.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
60.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
60.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
60.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
60.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
60.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
60.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
60.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
60.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
60.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
60.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
60.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
60.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
60.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
60.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
60.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
59.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
59.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
59.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
59.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
59.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
59.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
59.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
59.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
59.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
59.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
59.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
59.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
59.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
58.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
58.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
58.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
58.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
58.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
58.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
58.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
58.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
58.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
58.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
58.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
58.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
58.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
58.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
58.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
58.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
58.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
57.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
57.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
57.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
57.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
57.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
57.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
57.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
57.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
57.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
57.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
57.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
57.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
57.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
57.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
56.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
56.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
56.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
56.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
56.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
56.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
56.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
56.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
56.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
56.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
56.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
56.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
56.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
56.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
56.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
56.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
56.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
56.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
56.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
55.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
55.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
55.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
55.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
55.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
55.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
55.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
55.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
55.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
55.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
55.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
55.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
55.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
55.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
55.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
55.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
54.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
54.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
54.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
54.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
54.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
54.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
54.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
54.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
54.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
54.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
54.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
54.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
54.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
54.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
54.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
54.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
54.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
53.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
53.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
53.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
53.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
53.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
53.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
53.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
53.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
53.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
53.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
53.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
53.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
53.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
52.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
52.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
52.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
52.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
52.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
52.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
52.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
52.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
52.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
52.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
51.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
51.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
51.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
51.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
51.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
51.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
51.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
51.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
51.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
51.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
51.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
50.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
50.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
50.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
50.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
50.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
50.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
50.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
50.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
50.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
50.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
49.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
49.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
49.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
49.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
48.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
48.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
48.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
48.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
48.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
48.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
48.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
47.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
47.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
47.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
47.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
46.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
46.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
46.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
46.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
46.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
45.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
45.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
45.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
45.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
45.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
45.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
44.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
44.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
44.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
43.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
43.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
43.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
43.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
41.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
41.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
41.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
41.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
40.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
38.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
36.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
35.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
30.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.7
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.
PHC3 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
8.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
22.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
19.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
18.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
17.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
16.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
16.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
14.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
14.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
13.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
13.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
12.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
11.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
11.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
11.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
11.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
11.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
11.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
11.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
10.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
10.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
10.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
10.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
9.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
9.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
9.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
9.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
9.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
9.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
8.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
8.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
8.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
8.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
7.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
7.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
7.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
7.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
7.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
7.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
7.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
7.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
7.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
7.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
7.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
7.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
7.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
7.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
7.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
7.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
7.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
6.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
6.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
6.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
6.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
6.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
6.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
6.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
6.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
6.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
6.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
6.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
6.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
6.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
6.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
5.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
5.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
5.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
5.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
5.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
5.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
5.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
5.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
5.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
5.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
5.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
4.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
4.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
4.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
4.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
4.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
4.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
3.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
3.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
3.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
3.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
3.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
2.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PHC3 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
63.0
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
103.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
97.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
93.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
92.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
91.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
90.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
89.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
85.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
84.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
83.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
83.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
82.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
82.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
82.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
81.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
81.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
81.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
80.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
80.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
79.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
79.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
79.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
78.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
78.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
78.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
78.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
77.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
77.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
77.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
76.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
76.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
76.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
76.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
76.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
75.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
75.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
75.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
74.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
74.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
73.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
73.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
73.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
73.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
73.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
73.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
72.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
72.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
72.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
72.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
72.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
72.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
71.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
71.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
70.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
70.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
70.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
70.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
69.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
69.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
69.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
69.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
69.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
68.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
68.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
68.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
68.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
68.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
68.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
68.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
67.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
67.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
67.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
67.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
67.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
67.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
66.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
66.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
66.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
66.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
66.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
66.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
66.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
66.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
66.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
65.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
65.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
65.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
65.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
65.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
64.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
64.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
64.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
64.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
64.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
63.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
63.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
63.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
63.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
63.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
63.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
63.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
63.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
62.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
62.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
62.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
62.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
62.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
62.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
62.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
62.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
61.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
61.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
61.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
61.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
61.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
61.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
60.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
60.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
60.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
60.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
60.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
60.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
60.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
59.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
59.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
59.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
58.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
58.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
58.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
58.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
58.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
58.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
58.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
58.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
57.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
57.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
57.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
57.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
57.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
57.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
57.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
57.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
56.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
56.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
56.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
56.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
56.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
56.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
55.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
55.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
54.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
54.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
54.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
54.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
54.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
53.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
53.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
53.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
53.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
53.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
53.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
53.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
53.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
52.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
52.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
52.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
52.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
51.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
51.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
51.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
51.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
51.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
50.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
50.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
50.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
50.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
50.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
49.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
49.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
49.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
49.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
48.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
48.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
48.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
48.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
48.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
48.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
47.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
46.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
46.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
46.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
46.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
45.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
45.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
44.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
44.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
44.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
43.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
43.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
41.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
40.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
40.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
38.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
36.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
36.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
31.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
1.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.8
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.6
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-1.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-1.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-1.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-1.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-1.9
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-2.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
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
