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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.
KDM2A 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
10.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
27.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
26.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
23.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
23.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
22.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
22.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
21.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
20.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
20.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
19.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
18.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
17.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
17.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
17.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
17.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
17.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
17.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
17.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
17.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
16.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
16.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
16.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
16.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
16.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
16.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
16.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
15.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
15.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
15.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
15.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
15.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
15.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
15.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
15.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
15.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
15.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
15.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
15.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
14.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
14.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
14.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
14.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
14.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
14.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
14.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
14.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
14.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
14.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
14.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
14.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
14.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
14.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
14.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
14.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
14.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
14.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
13.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
13.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
13.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
13.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
13.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
13.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
13.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
13.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
13.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
13.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
13.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
13.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
13.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
13.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
13.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
12.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
12.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
12.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
12.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
12.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
12.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
12.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
12.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
12.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
12.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
12.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
12.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
12.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
12.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
12.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
12.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
12.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
12.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
12.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
12.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
11.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
11.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
11.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
11.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
11.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
11.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
11.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
11.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
11.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
11.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
11.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
11.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
11.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
11.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
11.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
11.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
11.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
11.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
11.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
11.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
11.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
10.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
10.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
10.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
10.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
10.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
10.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
10.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
10.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
10.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
10.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
10.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
10.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
10.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
10.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
10.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
10.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
10.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
10.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
10.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
10.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
10.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
10.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
10.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
10.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
10.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
10.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
9.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
9.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
9.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
9.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
9.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
9.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
9.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
9.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
9.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
9.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
9.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
9.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
9.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
9.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
9.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
9.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
9.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
9.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
9.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
9.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
9.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
9.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
9.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
8.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
8.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
8.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
8.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
8.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
8.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
8.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
8.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
8.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
8.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
8.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
8.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
8.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
8.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
7.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
7.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
7.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
7.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
7.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
7.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
7.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
7.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
7.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
7.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
7.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
7.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
7.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
7.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
7.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
7.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
7.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
7.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
7.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
7.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
7.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
7.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
7.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
7.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
7.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
7.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
7.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
6.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
6.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
6.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
6.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
6.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
6.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
6.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
6.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
6.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
6.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
6.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
6.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
6.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
6.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
6.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
6.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
6.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
6.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
5.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
5.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
5.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
5.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
5.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
5.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
5.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
5.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
5.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
5.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
5.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
5.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
5.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
4.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
4.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
4.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
4.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
4.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
4.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
4.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
4.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
4.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
4.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
4.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
3.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
3.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
3.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
3.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
3.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
3.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
3.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
KDM2A 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
38.6
Number of samples
486
Samples
Sample
Description
TPM
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
68.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
65.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
65.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
63.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
62.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
62.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
60.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
60.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
59.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
58.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
58.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
57.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
57.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
56.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
56.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
55.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
55.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
54.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
54.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
54.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
54.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
54.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
53.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
53.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
53.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
52.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
52.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
52.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
51.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
51.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
51.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
51.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
51.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
51.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
50.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
50.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
50.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
50.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
50.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
50.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
50.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
50.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
50.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
49.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
49.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
49.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
49.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
49.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
49.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
48.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
48.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
48.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
48.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
48.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
48.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
48.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
48.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
48.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
48.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
48.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
48.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
48.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
48.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
48.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
47.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
47.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
47.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
47.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
47.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
47.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
47.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
47.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
47.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
47.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
46.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
46.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
46.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
46.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
46.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
46.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
46.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
46.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
46.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
46.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
45.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
45.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
45.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
45.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
45.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
45.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
45.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
45.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
45.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
45.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
45.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
45.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
45.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
45.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
45.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
45.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
45.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
44.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
44.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
44.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
44.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
44.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
44.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
44.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
44.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
44.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
44.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
44.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
44.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
44.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
44.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
44.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
44.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
44.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
44.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
44.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
44.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
43.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
43.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
43.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
43.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
43.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
43.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
43.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
43.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
43.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
43.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
43.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
43.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
43.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
43.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
43.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
42.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
42.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
42.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
42.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
42.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
42.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
42.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
42.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
42.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
42.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
42.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
42.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
42.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
42.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
42.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
42.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
42.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
42.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
41.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
41.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
41.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
41.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
41.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
41.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
41.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
41.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
41.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
41.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
41.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
41.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
41.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
41.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
41.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
41.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
41.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
41.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
41.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
41.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
41.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
41.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
41.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
41.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
40.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
40.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
40.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
40.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
40.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
40.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
40.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
40.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
40.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
40.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
40.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
40.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
40.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
40.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
40.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
40.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
40.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
40.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
40.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
40.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
40.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
39.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
39.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
39.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
39.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
39.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
39.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
39.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
39.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
39.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
39.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
39.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
39.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
39.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
39.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
39.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
39.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
39.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
39.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
39.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
39.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
38.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
38.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
38.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
38.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
38.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
38.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
38.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
38.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
38.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
38.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
38.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
38.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
38.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
38.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
38.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
38.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
38.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
38.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
38.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
38.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
38.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
38.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
38.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
38.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
38.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
38.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
38.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
38.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
38.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
37.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
37.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
37.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
37.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
37.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
37.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
37.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
37.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
37.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
37.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
37.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
37.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
37.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
37.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
37.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
37.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
37.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
37.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
37.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
37.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
37.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
37.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
37.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
37.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
37.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
36.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
36.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
36.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
36.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
36.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
36.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
36.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
36.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
36.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
36.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
36.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
36.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
36.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
36.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
36.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
36.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
36.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
35.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
35.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
35.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
35.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
35.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
35.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
35.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
35.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
35.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
35.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
35.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
35.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
35.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
35.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
35.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
35.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
35.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
35.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
35.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
35.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
35.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
35.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
35.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
35.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
35.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
35.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
35.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
35.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
35.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
35.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
35.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
34.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
34.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
34.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
34.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
34.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
34.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
34.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
34.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
34.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
34.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
34.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
34.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
34.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
34.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
34.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
34.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
34.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
34.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
34.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
34.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
34.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
34.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
34.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
34.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
34.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
34.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
33.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
33.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
33.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
33.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
33.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
33.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
33.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
33.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
33.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
33.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
33.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
33.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
33.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
33.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
33.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
33.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
33.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
33.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
33.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
32.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
32.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
32.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
32.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
32.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
32.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
32.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
32.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
32.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
32.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
32.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
32.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
32.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
32.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
32.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
32.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
32.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
32.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
32.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
31.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
31.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
31.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
31.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
31.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
31.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
31.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
31.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
31.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
31.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
31.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
31.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
31.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
31.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
31.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
31.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
30.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
30.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
30.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
30.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
30.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
30.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
30.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
30.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
30.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
30.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
30.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
30.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
30.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
30.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
30.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
29.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
29.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
29.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
29.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
29.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
29.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
29.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
29.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
29.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
29.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
28.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
28.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
28.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
28.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
28.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
28.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
28.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
28.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
28.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
28.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
28.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
28.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
28.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
27.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
27.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
27.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
27.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
27.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
27.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
27.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
27.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
27.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
26.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
26.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
25.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
25.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
25.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
25.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
25.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
25.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
25.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
25.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
25.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
25.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
24.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
24.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
24.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
24.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
24.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
24.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
23.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
23.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
22.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
22.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
22.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
21.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
18.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
18.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
12.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
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.
KDM2A is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
11.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
39.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
24.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
20.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
20.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
20.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
19.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
19.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
18.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
18.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
17.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
16.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
16.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
16.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
16.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
15.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
15.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
15.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
15.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
15.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
14.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
14.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
14.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
13.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
13.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
13.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
13.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
13.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
13.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
12.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
12.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
12.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
12.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
12.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
12.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
12.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
12.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
12.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
12.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
12.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
12.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
12.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
11.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
11.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
11.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
10.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
10.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
10.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
10.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
10.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
10.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
9.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
9.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
9.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
9.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
9.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
9.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
9.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
9.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
8.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
8.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
8.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
8.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
8.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
8.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
8.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
7.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
7.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
7.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
7.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
6.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
6.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
6.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
6.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
5.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
5.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
5.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
5.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
5.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
5.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
5.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
4.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
4.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
3.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
3.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
2.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
KDM2A is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
36.4
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
60.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
58.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
58.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
56.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
53.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
52.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
52.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
51.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
51.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
50.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
48.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
47.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
47.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
47.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
46.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
46.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
46.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
46.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
46.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
45.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
45.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
45.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
45.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
44.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
44.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
44.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
44.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
43.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
43.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
43.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
43.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
43.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
42.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
42.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
42.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
42.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
42.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
42.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
42.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
42.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
42.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
42.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
42.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
42.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
41.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
41.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
41.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
41.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
41.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
41.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
41.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
40.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
40.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
40.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
40.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
40.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
40.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
40.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
40.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
39.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
39.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
39.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
39.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
39.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
39.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
39.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
39.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
39.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
39.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
39.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
39.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
39.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
39.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
39.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
39.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
39.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
38.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
38.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
38.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
38.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
38.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
38.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
38.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
38.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
38.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
38.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
37.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
37.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
37.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
37.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
37.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
37.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
37.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
37.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
36.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
36.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
36.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
36.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
36.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
36.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
36.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
36.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
36.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
36.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
36.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
36.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
35.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
35.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
35.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
35.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
35.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
35.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
35.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
35.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
35.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
35.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
35.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
34.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
34.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
34.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
34.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
34.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
34.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
33.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
33.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
33.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
33.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
33.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
33.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
33.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
33.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
33.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
33.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
33.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
33.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
33.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
33.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
33.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
33.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
32.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
32.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
32.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
32.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
32.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
32.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
32.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
32.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
32.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
32.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
32.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
32.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
31.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
31.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
31.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
31.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
31.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
31.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
31.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
31.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
31.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
31.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
31.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
31.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
30.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
30.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
30.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
30.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
30.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
30.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
29.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
29.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
29.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
29.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
29.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
29.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
29.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
28.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
28.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
28.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
28.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
28.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
28.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
27.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
27.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
27.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
27.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
27.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
27.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
26.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
26.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
25.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
25.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
24.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
23.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
23.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
23.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
22.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
22.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
22.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
21.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
21.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
19.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
17.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.8
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.8
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.6
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.8
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-1.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
