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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.
PHF3 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
12.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
47.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
41.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
41.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
38.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
36.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
28.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
26.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
24.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
24.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
21.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
21.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
20.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
20.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
20.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
20.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
18.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
18.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
18.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
18.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
18.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
18.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
18.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
18.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
17.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
17.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
17.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
17.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
17.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
17.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
17.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
17.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
17.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
17.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
17.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
17.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
16.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
16.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
16.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
16.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
16.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
16.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
15.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
15.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
15.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
15.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
15.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
15.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
15.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
15.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
15.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
15.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
15.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
14.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
14.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
14.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
14.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
14.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
14.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
14.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
14.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
14.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
14.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
14.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
14.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
14.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
14.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
14.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
14.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
14.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
14.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
14.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
14.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
14.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
14.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
14.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
14.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
13.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
13.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
13.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
13.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
13.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
13.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
13.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
13.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
13.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
13.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
13.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
13.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
13.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
13.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
13.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
13.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
13.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
13.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
13.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
13.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
13.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
13.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
12.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
12.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
12.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
12.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
12.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
12.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
12.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
12.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
12.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
12.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
12.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
12.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
12.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
12.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
12.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
12.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
12.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
12.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
12.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
12.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
12.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
12.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
11.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
11.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
11.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
11.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
11.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
11.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
11.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
11.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
11.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
11.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
11.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
11.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
11.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
11.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
11.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
11.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
11.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
11.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
11.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
11.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
11.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
11.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
11.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
11.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
11.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
11.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
11.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
11.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
11.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
11.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
11.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
10.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
10.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
10.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
10.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
10.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
10.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
10.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
10.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
10.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
10.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
10.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
10.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
10.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
10.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
10.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
10.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
10.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
10.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
10.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
10.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
10.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
10.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
10.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
10.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
10.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
10.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
10.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
10.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
9.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
9.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
9.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
9.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
9.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
9.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
9.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
9.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
9.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
9.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
9.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
9.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
9.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
9.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
9.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
9.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
9.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
9.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
9.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
9.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
9.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
9.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
9.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
8.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
8.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
8.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
8.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
8.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
8.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
8.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
8.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
8.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
8.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
8.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
8.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
8.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
8.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
8.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
8.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
8.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
8.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
8.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
8.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
8.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
7.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
7.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
7.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
7.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
7.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
7.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
7.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
7.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
7.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
7.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
7.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
7.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
7.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
7.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
7.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
7.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
7.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
7.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
6.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
6.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
6.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
6.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
6.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
5.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
5.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
5.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
4.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
4.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
4.4
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.
PHF3 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
47.3
Number of samples
486
Samples
Sample
Description
TPM
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
176.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
98.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
81.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
80.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
77.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
76.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
76.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
75.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
73.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
73.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
72.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
71.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
71.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
71.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
70.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
69.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
69.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
68.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
68.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
67.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
67.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
67.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
67.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
66.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
66.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
66.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
66.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
65.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
65.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
64.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
64.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
64.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
63.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
63.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
63.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
62.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
62.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
62.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
62.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
61.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
61.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
61.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
61.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
60.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
60.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
60.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
60.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
60.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
59.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
59.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
59.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
59.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
59.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
58.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
58.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
58.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
58.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
58.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
58.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
58.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
58.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
58.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
58.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
57.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
57.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
57.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
57.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
57.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
57.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
57.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
57.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
56.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
56.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
56.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
56.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
56.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
56.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
56.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
56.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
56.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
56.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
56.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
55.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
55.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
55.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
55.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
55.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
55.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
55.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
55.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
55.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
55.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
54.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
54.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
54.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
54.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
54.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
54.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
54.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
54.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
54.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
54.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
54.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
54.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
54.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
54.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
53.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
53.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
53.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
53.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
53.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
53.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
53.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
53.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
53.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
53.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
53.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
53.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
52.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
52.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
52.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
52.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
52.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
52.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
52.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
52.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
52.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
52.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
52.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
51.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
51.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
51.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
51.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
51.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
51.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
51.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
51.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
51.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
51.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
50.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
50.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
50.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
50.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
50.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
50.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
50.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
50.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
50.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
50.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
50.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
50.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
50.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
50.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
50.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
50.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
50.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
50.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
50.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
50.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
50.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
49.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
49.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
49.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
49.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
49.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
49.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
49.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
49.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
49.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
49.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
49.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
49.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
49.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
49.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
49.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
49.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
49.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
49.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
49.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
48.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
48.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
48.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
48.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
48.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
48.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
48.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
48.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
48.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
48.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
48.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
48.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
48.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
48.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
48.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
48.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
48.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
48.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
48.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
47.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
47.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
47.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
47.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
47.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
47.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
47.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
47.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
47.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
47.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
47.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
47.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
47.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
47.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
47.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
47.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
47.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
47.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
47.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
47.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
47.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
47.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
47.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
47.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
47.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
47.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
47.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
46.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
46.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
46.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
46.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
46.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
46.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
46.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
46.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
46.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
46.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
46.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
46.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
46.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
46.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
46.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
46.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
46.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
46.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
46.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
46.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
46.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
46.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
46.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
46.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
45.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
45.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
45.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
45.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
45.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
45.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
45.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
45.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
45.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
45.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
45.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
45.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
45.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
45.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
45.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
45.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
45.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
45.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
45.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
45.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
45.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
44.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
44.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
44.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
44.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
44.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
44.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
44.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
44.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
44.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
44.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
44.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
44.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
44.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
44.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
44.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
44.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
43.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
43.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
43.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
43.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
43.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
43.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
43.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
43.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
43.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
43.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
43.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
43.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
43.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
43.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
43.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
43.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
43.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
43.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
43.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
43.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
43.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
43.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
43.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
43.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
43.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
43.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
42.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
42.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
42.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
42.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
42.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
42.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
42.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
42.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
42.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
42.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
42.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
42.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
42.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
42.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
42.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
42.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
42.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
41.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
41.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
41.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
41.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
41.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
41.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
41.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
41.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
41.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
41.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
41.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
41.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
41.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
41.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
41.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
41.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
41.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
41.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
41.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
41.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
41.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
41.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
41.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
41.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
41.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
41.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
41.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
41.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
40.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
40.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
40.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
40.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
40.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
40.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
40.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
40.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
40.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
40.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
40.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
40.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
40.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
40.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
40.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
40.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
40.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
40.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
40.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
40.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
40.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
40.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
39.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
39.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
39.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
39.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
39.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
39.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
39.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
39.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
39.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
39.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
39.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
39.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
39.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
39.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
39.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
39.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
38.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
38.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
38.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
38.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
38.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
38.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
38.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
38.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
38.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
38.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
38.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
37.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
37.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
37.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
37.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
37.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
37.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
37.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
37.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
37.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
37.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
37.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
37.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
36.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
36.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
36.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
36.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
36.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
36.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
36.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
36.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
36.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
36.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
36.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
35.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
35.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
35.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
35.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
35.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
35.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
35.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
34.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
34.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
34.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
34.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
34.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
34.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
34.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
34.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
34.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
34.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
34.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
34.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
34.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
34.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
33.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
33.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
33.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
33.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
33.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
33.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
33.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
33.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
33.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
32.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
32.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
32.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
32.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
32.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
32.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
31.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
31.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
30.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
30.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
30.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
30.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
30.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
29.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
29.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
29.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
29.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
24.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
19.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
18.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.7
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.
PHF3 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
12.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
24.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
22.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
22.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
22.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
22.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
19.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
19.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
18.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
18.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
18.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
18.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
18.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
17.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
17.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
17.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
16.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
16.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
16.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
16.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
16.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
16.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
15.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
15.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
15.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
15.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
15.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
14.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
14.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
14.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
14.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
14.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
14.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
14.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
14.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
14.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
14.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
14.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
13.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
13.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
13.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
13.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
13.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
13.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
12.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
12.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
12.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
12.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
12.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
12.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
12.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
11.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
11.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
11.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
11.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
11.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
11.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
11.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
11.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
11.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
10.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
10.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
10.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
10.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
10.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
10.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
10.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
10.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
10.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
9.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
9.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
8.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
8.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
8.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
8.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
8.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
7.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
6.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
6.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
6.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
6.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
5.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
5.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
5.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
5.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
5.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
4.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
4.5
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.
PHF3 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
44.8
Number of samples
207
Samples
Sample
Description
TPM
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
79.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
72.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
71.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
70.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
69.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
69.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
69.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
66.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
65.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
65.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
64.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
63.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
62.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
61.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
60.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
59.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
59.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
58.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
58.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
58.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
58.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
57.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
57.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
56.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
56.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
56.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
56.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
56.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
56.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
56.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
56.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
56.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
55.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
54.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
54.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
54.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
54.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
54.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
54.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
54.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
53.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
53.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
53.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
53.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
52.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
52.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
52.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
51.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
51.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
50.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
50.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
50.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
50.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
50.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
50.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
50.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
49.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
49.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
49.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
49.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
48.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
48.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
48.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
48.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
48.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
47.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
47.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
47.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
47.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
47.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
47.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
47.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
46.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
46.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
46.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
46.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
46.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
46.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
46.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
45.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
45.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
45.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
45.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
45.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
45.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
45.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
45.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
45.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
45.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
45.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
44.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
44.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
44.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
44.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
44.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
44.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
44.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
44.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
44.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
44.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
43.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
43.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
43.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
43.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
43.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
43.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
43.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
43.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
42.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
42.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
42.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
42.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
42.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
42.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
42.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
42.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
42.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
42.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
42.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
41.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
41.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
41.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
41.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
41.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
41.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
41.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
40.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
40.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
40.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
40.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
40.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
40.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
40.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
40.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
40.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
40.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
40.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
40.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
39.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
39.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
39.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
39.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
39.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
39.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
39.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
39.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
39.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
39.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
39.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
38.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
38.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
38.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
38.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
38.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
38.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
38.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
38.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
38.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
38.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
37.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
37.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
37.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
37.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
37.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
37.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
36.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
36.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
36.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
36.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
36.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
36.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
36.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
36.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
36.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
35.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
35.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
35.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
35.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
35.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
35.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
34.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
34.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
34.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
34.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
34.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
33.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
33.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
33.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
33.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
32.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
32.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
31.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
31.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
31.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
31.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
31.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
30.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
30.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
29.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
28.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
28.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
27.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
26.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
25.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
24.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
22.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.8
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.9
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-1.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_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
