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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.
EPPK1 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
6.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
44.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
23.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
20.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
20.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
20.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
20.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
19.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
18.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
18.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
17.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
16.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
16.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
16.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
15.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
15.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
15.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
15.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
14.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
14.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
14.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
14.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
13.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
13.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
13.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
12.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
12.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
12.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
12.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
12.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
11.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
11.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
11.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
10.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
10.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
10.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
10.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
10.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
10.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
10.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
10.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
10.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
10.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
9.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
9.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
9.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
9.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
9.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
9.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
9.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
9.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
9.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
9.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
9.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
9.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
9.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
9.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
9.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
9.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
8.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
8.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
8.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
8.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
8.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
8.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
8.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
8.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
8.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
8.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
7.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
7.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
7.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
7.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
7.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
7.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
7.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
7.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
7.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
7.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
7.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
7.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
7.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
7.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
7.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
7.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
7.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
7.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
7.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
7.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
7.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
7.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
7.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
7.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
7.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
7.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
7.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
7.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
7.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
7.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
6.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
6.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
6.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
6.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
6.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
6.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
6.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
6.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
6.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
6.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
6.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
6.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
6.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
6.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
6.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
6.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
6.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
6.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
6.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
6.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
5.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
5.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
5.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
5.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
5.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
5.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
5.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
5.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
5.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
5.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
5.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
5.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
5.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
5.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
5.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
5.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
5.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
5.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
5.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
5.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
5.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
5.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
5.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
4.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
4.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
4.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
4.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
4.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
4.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
4.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
4.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
4.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
4.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
4.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
4.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
4.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
4.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
4.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
4.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
4.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
4.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
4.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
4.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
4.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
4.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
4.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
4.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
4.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
4.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
4.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
4.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
4.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
4.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
4.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
4.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
3.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
3.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
3.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
3.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
3.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
3.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
3.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
3.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
3.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
3.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
3.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
3.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
3.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
3.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
3.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
3.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
3.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
3.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
3.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
3.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
3.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
3.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
3.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
3.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
3.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
3.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
3.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
3.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
3.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
3.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
3.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
3.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
3.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
3.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
3.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
3.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
3.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
3.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
3.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
3.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
2.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
2.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
2.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
2.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
2.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
2.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
2.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
2.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
2.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
2.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
2.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
2.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
2.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
2.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
2.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
2.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
2.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
2.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
2.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
2.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
2.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
1.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
1.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
1.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
1.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
1.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
1.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
1.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
1.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
1.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
1.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
0.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 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.
EPPK1 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
33.1
Number of samples
486
Samples
Sample
Description
TPM
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
95.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
88.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
87.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
87.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
86.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
86.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
86.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
85.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
84.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
83.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
82.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
82.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
81.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
81.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
80.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
80.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
80.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
79.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
79.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
79.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
77.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
76.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
74.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
72.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
72.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
71.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
71.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
69.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
68.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
68.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
67.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
66.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
65.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
65.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
65.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
65.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
65.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
64.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
63.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
63.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
62.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
62.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
62.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
61.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
61.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
61.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
60.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
60.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
60.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
59.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
58.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
58.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
58.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
58.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
58.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
57.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
56.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
56.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
56.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
56.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
56.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
56.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
55.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
55.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
54.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
53.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
53.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
53.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
53.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
53.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
53.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
53.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
52.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
52.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
52.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
51.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
51.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
51.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
51.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
51.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
51.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
51.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
51.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
51.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
50.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
50.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
49.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
49.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
49.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
49.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
49.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
49.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
48.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
48.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
48.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
48.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
47.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
47.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
46.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
46.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
46.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
45.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
45.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
45.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
45.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
44.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
44.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
44.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
44.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
44.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
43.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
43.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
43.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
43.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
43.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
43.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
43.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
43.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
43.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
43.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
42.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
42.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
42.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
41.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
41.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
41.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
41.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
41.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
40.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
40.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
40.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
40.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
39.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
39.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
39.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
39.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
39.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
38.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
38.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
38.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
38.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
37.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
37.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
37.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
37.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
37.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
37.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
37.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
37.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
37.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
37.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
37.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
37.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
37.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
37.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
37.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
36.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
36.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
36.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
36.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
36.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
36.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
35.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
35.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
35.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
35.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
35.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
35.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
35.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
35.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
35.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
35.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
35.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
35.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
35.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
34.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
34.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
34.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
34.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
34.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
34.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
34.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
33.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
33.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
33.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
33.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
33.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
33.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
33.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
33.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
33.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
33.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
33.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
33.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
33.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
33.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
32.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
32.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
32.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
32.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
32.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
32.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
32.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
31.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
31.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
31.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
31.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
31.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
31.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
31.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
31.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
31.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
31.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
31.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
31.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
30.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
30.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
30.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
30.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
30.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
30.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
30.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
30.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
30.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
30.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
30.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
30.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
30.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
29.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
29.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
29.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
29.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
29.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
29.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
29.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
29.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
29.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
29.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
29.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
29.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
29.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
29.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
29.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
28.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
28.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
28.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
28.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
28.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
28.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
28.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
28.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
28.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
27.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
27.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
27.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
27.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
27.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
27.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
27.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
27.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
27.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
27.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
27.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
27.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
27.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
27.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
27.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
26.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
26.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
26.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
26.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
26.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
26.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
26.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
26.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
26.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
26.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
26.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
26.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
26.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
26.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
26.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
25.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
25.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
25.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
25.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
25.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
25.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
25.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
25.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
25.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
25.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
25.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
25.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
25.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
25.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
24.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
24.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
24.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
24.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
24.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
24.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
24.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
24.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
24.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
24.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
24.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
23.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
23.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
23.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
23.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
23.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
23.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
23.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
23.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
23.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
23.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
23.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
23.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
22.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
22.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
22.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
22.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
22.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
22.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
22.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
22.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
22.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
22.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
22.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
22.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
22.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
22.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
22.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
22.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
22.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
21.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
21.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
21.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
21.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
21.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
21.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
21.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
21.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
21.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
21.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
21.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
21.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
21.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
21.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
21.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
21.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
21.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
20.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
20.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
20.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
20.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
20.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
20.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
20.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
20.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
19.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
19.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
19.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
19.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
19.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
19.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
19.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
19.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
19.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
19.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
19.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
19.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
19.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
19.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
19.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
19.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
19.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
19.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
18.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
18.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
18.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
18.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
18.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
18.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
18.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
18.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
18.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
18.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
18.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
18.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
18.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
18.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
17.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
17.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
17.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
17.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
17.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
17.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
17.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
17.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
17.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
16.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
16.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
16.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
16.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
16.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
16.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
16.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
16.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
16.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
16.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
16.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
16.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
15.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
15.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
15.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
15.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
15.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
15.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
15.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
15.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
15.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
15.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
15.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
15.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
15.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
15.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
14.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
14.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
14.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
14.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
14.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
14.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
13.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
13.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
13.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
13.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
13.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
13.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
12.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
12.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
12.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
12.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
12.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
11.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
11.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
11.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
11.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
11.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
11.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
11.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
11.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
11.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
11.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
10.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
10.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
10.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
10.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
10.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
10.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
9.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
9.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
9.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
9.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
9.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
9.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
9.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
8.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
8.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
8.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
8.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
8.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
8.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
8.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
6.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
6.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
6.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
5.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
5.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
4.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
4.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
4.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EPPK1 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
6.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
16.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
14.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
14.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
12.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
12.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
12.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
12.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
11.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
11.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
11.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
11.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
11.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
10.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
10.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
10.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
10.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
9.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
9.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
9.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
9.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
9.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
8.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
8.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
8.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
8.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
8.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
8.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
8.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
7.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
7.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
7.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
7.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
7.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
6.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
6.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
5.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
5.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
5.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
5.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
5.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
5.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
5.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
5.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
5.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
4.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
4.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
4.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
4.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
4.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
4.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
4.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
4.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
4.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
4.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
3.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
3.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
3.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
3.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
3.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
3.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
3.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
3.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
3.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
3.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
3.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
3.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
3.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
2.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
2.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
2.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
2.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
2.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
2.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
2.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
1.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
1.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
1.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
1.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
1.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
1.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
1.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
1.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
1.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 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.
EPPK1 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
31.1
Number of samples
207
Samples
Sample
Description
TPM
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
95.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
87.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
79.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
76.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
76.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
75.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
67.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
64.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
63.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
61.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
60.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
59.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
59.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
59.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
59.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
55.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
55.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
53.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
51.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
50.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
49.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
49.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
49.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
48.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
48.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
48.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
48.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
47.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
46.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
45.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
45.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
45.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
45.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
44.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
44.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
44.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
44.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
44.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
43.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
42.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
42.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
42.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
40.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
40.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
40.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
40.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
39.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
39.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
39.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
38.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
38.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
38.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
37.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
37.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
37.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
37.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
37.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
36.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
36.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
36.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
36.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
36.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
36.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
36.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
36.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
35.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
35.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
35.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
35.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
35.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
35.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
34.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
34.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
34.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
34.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
33.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
33.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
33.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
33.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
33.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
32.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
32.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
32.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
32.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
32.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
31.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
31.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
31.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
31.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
31.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
31.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
31.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
30.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
30.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
30.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
29.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
29.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
28.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
28.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
28.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
28.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
27.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
27.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
27.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
27.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
27.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
27.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
27.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
27.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
26.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
26.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
26.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
26.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
26.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
26.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
26.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
26.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
26.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
25.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
25.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
25.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
25.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
25.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
25.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
24.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
24.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
24.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
24.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
24.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
24.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
24.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
23.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
23.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
23.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
22.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
22.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
22.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
22.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
22.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
22.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
22.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
21.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
21.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
21.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
21.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
21.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
20.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
20.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
20.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
20.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
20.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
20.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
20.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
20.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
20.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
20.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
20.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
20.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
19.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
19.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
18.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
18.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
18.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
18.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
18.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
18.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
17.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
17.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
17.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
17.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
17.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
17.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
17.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
17.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
17.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
16.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
16.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
16.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
16.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
16.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
16.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
15.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
15.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
15.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
15.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
14.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
14.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
14.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
14.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
14.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
13.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
13.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
13.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
13.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
12.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
12.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
12.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
11.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
11.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
10.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
10.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
9.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
9.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
8.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
8.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
7.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
4.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.9
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.9
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.8
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.8
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
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Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
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Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
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Tumor
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
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Tumor
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.5
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Tumor
-0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.7
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.8
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-1.0
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.