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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.
PACS1 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
16.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
52.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
42.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
39.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
35.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
33.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
33.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
32.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
31.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
31.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
31.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
30.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
30.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
29.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
29.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
29.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
29.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
28.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
28.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
28.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
27.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
27.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
27.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
27.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
27.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
27.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
26.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
26.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
26.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
26.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
26.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
25.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
25.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
25.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
25.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
25.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
24.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
23.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
23.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
23.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
23.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
23.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
23.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
23.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
23.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
23.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
23.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
23.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
23.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
23.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
23.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
22.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
22.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
22.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
22.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
22.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
22.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
22.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
21.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
21.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
21.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
21.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
21.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
21.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
21.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
21.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
21.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
21.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
21.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
21.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
20.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
20.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
20.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
20.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
20.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
20.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
20.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
20.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
20.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
19.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
19.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
19.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
19.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
19.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
19.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
19.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
19.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
19.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
18.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
18.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
18.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
18.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
18.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
18.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
18.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
18.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
18.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
18.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
18.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
17.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
17.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
17.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
17.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
17.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
17.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
17.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
17.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
17.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
17.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
16.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
16.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
16.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
16.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
16.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
16.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
16.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
16.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
16.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
16.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
16.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
16.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
16.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
16.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
16.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
16.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
16.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
15.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
15.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
15.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
15.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
15.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
15.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
15.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
15.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
15.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
14.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
14.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
14.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
14.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
14.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
14.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
14.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
14.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
14.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
14.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
14.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
14.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
14.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
14.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
13.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
13.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
13.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
13.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
13.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
13.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
13.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
13.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
13.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
13.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
13.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
13.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
13.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
13.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
13.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
13.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
12.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
12.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
12.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
12.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
12.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
12.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
12.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
12.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
12.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
12.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
12.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
12.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
12.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
12.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
12.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
12.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
12.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
12.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
12.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
12.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
11.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
11.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
11.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
11.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
11.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
11.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
11.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
11.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
11.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
11.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
11.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
11.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
11.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
10.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
10.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
10.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
10.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
10.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
10.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
10.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
10.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
10.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
10.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
10.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
10.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
10.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
10.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
10.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
10.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
10.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
10.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
10.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
10.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
9.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
9.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
9.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
9.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
9.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
9.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
9.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
9.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
9.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
8.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
8.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
8.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
8.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
8.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
8.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
8.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
8.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
7.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
7.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
7.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
7.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
7.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
7.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
7.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
7.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
7.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
6.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
6.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
6.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
6.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
6.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
6.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
6.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
6.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
6.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 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.
PACS1 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
30.7
Number of samples
486
Samples
Sample
Description
TPM
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
76.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
76.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
71.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
68.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
68.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
61.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
60.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
58.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
58.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
58.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
58.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
56.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
53.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
53.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
52.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
51.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
50.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
49.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
49.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
49.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
49.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
48.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
47.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
47.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
46.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
46.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
45.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
45.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
45.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
45.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
45.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
44.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
44.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
43.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
43.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
43.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
43.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
43.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
43.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
43.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
43.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
43.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
43.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
42.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
42.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
42.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
42.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
42.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
41.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
41.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
41.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
41.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
41.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
41.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
41.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
41.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
41.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
41.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
40.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
40.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
40.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
40.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
40.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
40.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
40.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
40.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
40.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
39.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
39.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
39.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
39.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
39.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
39.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
39.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
39.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
39.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
39.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
39.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
39.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
39.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
39.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
39.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
38.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
38.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
38.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
38.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
38.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
38.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
38.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
38.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
37.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
37.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
37.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
37.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
37.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
37.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
37.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
37.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
37.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
37.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
36.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
36.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
36.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
36.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
36.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
36.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
36.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
36.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
36.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
35.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
35.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
35.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
35.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
35.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
35.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
35.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
35.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
35.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
35.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
35.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
35.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
35.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
35.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
35.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
35.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
35.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
34.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
34.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
34.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
34.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
34.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
34.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
34.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
34.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
34.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
34.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
34.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
34.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
34.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
34.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
34.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
34.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
34.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
34.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
34.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
34.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
34.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
34.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
34.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
34.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
34.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
33.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
33.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
33.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
33.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
33.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
33.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
33.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
33.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
33.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
33.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
33.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
33.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
33.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
33.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
33.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
33.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
33.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
33.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
33.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
33.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
32.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
32.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
32.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
32.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
32.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
32.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
32.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
32.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
32.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
32.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
32.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
32.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
32.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
32.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
32.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
32.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
32.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
32.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
32.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
32.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
32.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
32.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
32.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
31.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
31.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
31.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
31.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
31.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
31.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
31.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
31.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
31.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
31.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
31.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
31.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
31.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
31.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
31.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
31.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
31.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
31.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
31.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
31.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
30.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
30.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
30.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
30.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
30.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
30.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
30.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
30.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
30.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
30.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
30.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
30.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
30.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
30.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
30.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
30.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
30.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
30.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
30.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
30.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
30.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
30.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
30.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
30.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
30.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
29.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
29.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
29.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
29.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
29.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
29.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
29.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
29.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
29.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
29.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
29.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
29.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
29.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
29.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
29.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
29.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
29.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
29.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
29.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
29.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
29.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
29.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
29.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
29.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
28.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
28.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
28.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
28.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
28.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
28.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
28.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
28.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
28.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
28.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
28.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
28.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
28.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
28.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
28.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
28.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
28.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
27.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
27.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
27.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
27.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
27.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
27.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
27.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
27.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
27.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
27.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
27.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
27.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
27.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
27.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
27.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
27.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
27.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
27.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
27.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
27.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
27.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
27.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
27.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
27.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
27.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
27.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
27.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
27.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
26.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
26.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
26.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
26.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
26.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
26.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
26.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
26.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
26.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
26.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
26.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
26.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
26.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
26.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
26.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
26.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
26.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
26.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
26.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
26.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
26.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
26.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
26.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
25.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
25.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
25.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
25.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
25.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
25.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
25.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
25.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
25.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
25.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
25.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
25.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
25.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
25.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
25.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
25.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
25.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
25.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
25.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
25.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
24.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
24.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
24.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
24.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
24.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
24.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
24.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
24.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
24.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
24.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
24.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
24.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
24.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
24.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
24.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
24.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
24.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
23.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
23.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
23.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
23.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
23.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
23.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
23.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
23.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
23.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
23.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
23.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
23.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
23.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
23.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
23.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
23.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
23.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
23.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
23.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
22.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
22.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
22.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
22.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
22.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
22.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
22.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
22.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
22.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
22.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
22.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
22.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
22.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
22.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
22.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
22.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
22.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
22.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
22.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
22.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
22.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
22.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
22.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
22.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
21.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
21.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
21.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
21.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
21.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
21.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
21.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
21.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
21.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
21.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
20.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
20.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
20.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
20.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
20.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
20.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
20.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
20.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
19.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
19.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
19.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
19.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
19.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
19.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
19.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
19.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
19.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
19.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
19.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
19.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
19.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
19.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
19.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
18.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
18.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
18.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
18.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
18.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
18.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
18.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
18.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
18.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
17.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
17.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
17.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
17.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
17.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
17.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
17.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
16.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
16.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
16.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
16.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
16.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
15.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
15.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
15.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
15.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
15.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
15.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
15.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
14.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
14.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
13.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
13.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
12.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
7.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
6.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PACS1 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
16.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
36.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
35.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
33.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
30.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
29.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
27.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
25.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
25.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
23.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
22.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
21.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
21.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
20.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
20.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
20.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
19.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
19.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
19.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
19.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
19.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
19.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
19.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
18.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
18.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
18.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
18.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
18.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
18.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
18.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
18.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
17.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
17.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
17.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
17.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
17.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
17.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
17.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
16.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
16.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
16.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
16.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
16.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
16.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
16.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
15.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
15.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
15.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
15.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
15.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
15.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
14.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
14.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
14.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
14.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
14.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
14.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
13.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
13.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
13.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
13.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
12.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
12.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
12.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
12.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
12.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
11.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
11.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
11.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
11.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
11.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
11.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
10.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
10.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
10.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
10.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
9.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
9.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
9.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
9.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
9.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
9.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
8.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
8.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
8.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
7.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
6.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
6.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PACS1 is potential prognostic, high expression is favorable 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
30.1
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
65.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
59.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
57.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
53.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
51.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
50.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
49.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
49.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
48.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
48.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
48.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
47.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
46.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
45.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
44.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
44.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
44.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
43.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
42.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
42.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
42.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
41.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
41.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
41.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
40.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
40.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
40.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
40.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
39.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
39.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
39.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
39.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
38.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
38.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
37.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
37.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
37.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
37.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
37.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
37.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
37.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
36.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
36.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
36.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
36.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
36.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
36.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
35.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
35.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
35.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
35.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
34.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
34.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
34.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
33.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
33.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
33.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
33.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
32.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
32.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
32.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
32.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
32.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
32.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
32.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
32.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
31.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
31.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
31.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
31.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
31.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
31.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
31.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
31.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
31.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
31.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
30.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
30.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
30.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
30.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
30.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
30.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
30.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
29.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
29.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
29.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
29.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
29.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
29.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
29.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
29.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
29.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
29.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
29.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
29.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
29.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
29.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
29.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
29.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
29.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
29.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
29.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
28.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
28.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
28.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
28.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
28.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
28.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
28.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
28.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
28.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
28.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
28.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
28.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
27.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
27.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
27.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
27.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
27.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
27.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
27.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
27.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
26.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
26.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
26.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
26.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
26.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
26.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
26.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
26.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
26.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
26.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
26.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
26.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
26.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
25.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
25.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
25.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
25.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
25.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
25.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
25.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
25.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
24.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
24.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
24.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
24.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
24.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
24.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
24.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
24.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
24.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
24.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
24.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
24.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
23.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
23.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
23.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
23.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
23.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
23.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
23.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
23.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
23.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
23.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
22.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
22.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
22.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
22.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
22.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
22.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
22.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
22.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
21.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
21.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
21.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
21.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
21.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
21.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
20.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
20.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
20.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
20.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
20.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
20.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
20.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
20.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
19.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
18.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
18.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
18.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
17.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
17.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
17.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
17.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
17.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
16.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
15.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
15.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
15.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
15.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
14.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
13.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
13.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.9
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
0.7
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
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Tumor
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
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Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
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Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
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Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
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Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.7
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.