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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.
ANKRD17 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
15.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
39.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
36.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
31.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
29.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
28.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
27.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
27.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
27.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
26.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
26.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
26.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
26.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
26.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
25.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
25.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
25.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
24.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
24.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
24.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
24.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
24.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
23.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
23.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
23.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
23.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
22.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
22.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
22.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
22.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
22.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
21.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
21.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
21.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
21.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
21.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
21.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
21.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
21.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
21.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
21.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
21.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
21.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
20.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
20.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
20.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
20.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
20.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
20.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
20.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
20.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
20.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
20.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
20.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
20.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
20.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
19.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
19.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
19.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
19.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
19.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
19.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
18.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
18.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
18.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
18.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
18.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
18.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
18.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
18.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
18.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
18.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
18.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
18.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
17.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
17.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
17.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
17.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
16.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
16.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
16.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
16.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
16.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
16.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
16.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
16.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
16.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
16.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
16.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
16.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
16.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
16.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
16.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
16.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
16.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
16.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
16.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
16.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
16.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
16.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
16.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
16.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
15.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
15.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
15.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
15.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
15.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
15.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
15.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
15.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
15.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
15.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
15.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
15.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
14.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
14.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
14.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
14.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
14.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
14.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
14.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
14.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
14.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
14.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
14.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
14.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
14.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
14.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
14.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
13.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
13.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
13.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
13.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
13.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
13.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
13.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
13.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
13.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
13.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
13.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
13.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
13.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
13.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
13.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
13.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
13.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
13.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
13.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
13.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
13.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
12.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
12.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
12.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
12.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
12.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
12.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
12.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
12.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
12.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
12.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
12.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
12.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
12.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
12.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
12.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
12.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
12.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
12.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
12.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
12.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
12.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
11.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
11.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
11.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
11.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
11.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
11.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
11.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
11.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
11.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
11.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
11.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
11.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
11.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
11.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
11.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
11.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
11.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
11.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
11.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
11.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
11.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
11.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
11.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
11.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
10.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
10.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
10.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
10.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
10.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
10.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
10.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
10.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
10.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
10.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
10.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
10.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
10.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
10.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
10.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
10.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
10.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
9.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
9.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
9.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
9.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
9.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
9.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
9.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
9.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
9.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
9.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
9.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
9.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
9.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
9.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
9.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
9.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
8.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
8.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
8.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
8.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
8.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
8.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
8.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
8.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
8.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
7.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
7.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
7.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
7.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
7.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
7.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
6.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
6.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
6.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
6.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
6.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
6.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
5.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
4.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 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.
ANKRD17 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
57.9
Number of samples
486
Samples
Sample
Description
TPM
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
148.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
113.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
96.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
92.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
90.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
89.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
89.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
88.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
88.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
87.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
86.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
86.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
85.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
85.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
85.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
83.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
83.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
82.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
82.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
82.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
82.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
81.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
81.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
81.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
80.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
80.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
80.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
80.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
80.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
79.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
79.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
79.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
78.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
78.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
77.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
77.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
77.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
76.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
76.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
75.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
75.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
75.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
75.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
75.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
75.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
74.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
74.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
74.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
73.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
73.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
73.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
73.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
73.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
73.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
73.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
73.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
72.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
72.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
72.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
72.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
72.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
72.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
71.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
71.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
71.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
71.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
71.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
71.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
71.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
71.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
71.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
71.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
71.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
70.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
70.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
70.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
70.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
70.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
69.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
69.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
69.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
69.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
69.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
69.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
69.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
69.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
69.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
69.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
69.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
68.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
68.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
68.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
68.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
68.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
67.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
67.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
67.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
67.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
67.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
66.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
66.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
66.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
66.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
66.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
66.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
66.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
65.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
65.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
65.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
65.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
65.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
65.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
65.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
65.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
65.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
65.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
65.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
64.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
64.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
64.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
64.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
64.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
64.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
64.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
64.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
64.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
63.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
63.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
63.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
63.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
63.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
63.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
63.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
63.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
63.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
63.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
63.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
63.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
62.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
62.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
62.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
62.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
62.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
62.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
61.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
61.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
61.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
61.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
61.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
61.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
61.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
61.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
61.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
61.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
61.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
61.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
61.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
61.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
61.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
61.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
61.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
60.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
60.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
60.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
60.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
60.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
60.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
60.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
60.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
60.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
60.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
60.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
60.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
59.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
59.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
59.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
59.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
59.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
59.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
59.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
59.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
59.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
59.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
59.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
59.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
59.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
59.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
59.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
59.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
59.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
59.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
59.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
59.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
59.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
58.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
58.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
58.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
58.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
58.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
58.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
58.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
58.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
58.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
58.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
58.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
58.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
58.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
58.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
58.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
58.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
58.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
57.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
57.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
57.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
57.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
57.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
57.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
57.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
57.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
57.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
57.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
57.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
57.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
57.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
57.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
57.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
57.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
56.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
56.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
56.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
56.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
56.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
56.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
56.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
56.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
56.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
56.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
56.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
56.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
56.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
56.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
56.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
56.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
56.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
56.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
55.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
55.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
55.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
55.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
55.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
55.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
55.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
55.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
55.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
55.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
55.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
55.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
55.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
55.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
55.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
55.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
55.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
55.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
55.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
55.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
55.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
55.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
55.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
55.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
55.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
55.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
55.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
54.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
54.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
54.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
54.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
54.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
54.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
54.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
54.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
54.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
54.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
54.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
54.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
54.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
54.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
54.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
54.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
54.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
54.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
54.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
54.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
54.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
53.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
53.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
53.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
53.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
53.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
53.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
53.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
53.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
53.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
53.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
53.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
53.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
53.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
53.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
53.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
53.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
53.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
53.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
52.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
52.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
52.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
52.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
52.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
52.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
52.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
52.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
52.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
52.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
52.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
52.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
52.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
52.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
52.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
52.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
52.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
52.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
52.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
52.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
51.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
51.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
51.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
51.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
51.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
51.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
51.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
51.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
51.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
51.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
50.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
50.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
50.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
50.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
50.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
50.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
50.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
50.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
50.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
50.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
50.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
50.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
50.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
50.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
50.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
50.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
50.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
50.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
50.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
50.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
50.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
49.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
49.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
49.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
49.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
49.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
49.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
49.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
49.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
49.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
49.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
49.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
49.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
49.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
49.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
49.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
48.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
48.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
48.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
48.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
48.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
48.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
48.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
48.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
48.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
48.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
48.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
48.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
48.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
48.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
48.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
48.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
47.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
47.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
47.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
47.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
47.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
47.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
47.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
47.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
47.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
47.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
47.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
47.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
47.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
46.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
46.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
46.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
46.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
46.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
46.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
46.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
46.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
46.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
46.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
46.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
46.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
46.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
46.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
46.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
46.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
46.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
46.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
46.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
46.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
45.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
45.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
45.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
45.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
45.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
45.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
45.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
45.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
45.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
45.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
45.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
45.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
44.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
44.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
44.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
44.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
44.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
43.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
43.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
43.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
43.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
43.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
43.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
42.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
42.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
42.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
42.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
42.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
42.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
41.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
41.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
41.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
41.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
40.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
40.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
40.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
40.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
40.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
40.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
40.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
40.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
40.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
40.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
39.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
39.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
39.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
39.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
38.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
38.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
38.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
38.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
38.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
37.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
36.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
35.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
35.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
33.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
32.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.3
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.
ANKRD17 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
14.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
31.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
28.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
27.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
26.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
25.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
23.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
23.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
22.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
22.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
21.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
21.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
21.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
20.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
20.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
20.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
20.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
20.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
20.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
19.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
19.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
19.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
19.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
18.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
17.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
17.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
17.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
17.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
17.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
16.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
16.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
16.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
16.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
16.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
16.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
16.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
15.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
15.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
15.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
15.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
15.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
15.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
15.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
15.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
15.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
15.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
15.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
14.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
14.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
13.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
13.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
13.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
13.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
13.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
13.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
13.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
12.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
12.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
12.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
12.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
12.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
12.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
12.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
11.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
11.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
11.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
10.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
10.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
10.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
10.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
10.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
10.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
9.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
9.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
9.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
8.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
8.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
8.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
8.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
7.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
6.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
6.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
6.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
5.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
5.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
5.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
4.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
ANKRD17 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
54.8
Number of samples
207
Samples
Sample
Description
TPM
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
136.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
129.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
89.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
81.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
79.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
79.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
77.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
77.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
76.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
76.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
76.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
75.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
74.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
74.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
73.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
73.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
72.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
71.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
71.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
70.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
70.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
69.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
69.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
68.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
67.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
67.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
66.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
66.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
66.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
65.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
65.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
65.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
65.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
65.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
65.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
64.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
64.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
64.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
64.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
64.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
63.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
63.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
62.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
62.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
62.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
62.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
61.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
61.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
61.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
61.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
61.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
60.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
60.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
60.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
60.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
59.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
59.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
59.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
59.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
58.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
58.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
58.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
58.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
58.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
58.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
58.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
58.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
58.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
57.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
57.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
57.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
57.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
57.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
56.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
56.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
56.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
56.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
56.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
56.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
56.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
55.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
55.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
55.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
55.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
55.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
55.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
55.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
55.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
54.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
54.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
54.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
54.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
54.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
54.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
54.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
54.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
54.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
53.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
53.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
53.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
53.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
53.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
53.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
53.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
53.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
53.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
52.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
52.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
52.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
52.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
52.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
52.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
52.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
51.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
51.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
51.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
51.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
51.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
51.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
51.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
50.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
50.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
50.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
50.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
50.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
50.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
50.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
50.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
50.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
50.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
50.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
50.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
50.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
50.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
49.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
49.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
49.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
49.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
49.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
49.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
49.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
49.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
48.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
48.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
48.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
48.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
47.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
47.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
47.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
47.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
47.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
47.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
47.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
47.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
46.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
46.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
46.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
46.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
46.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
46.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
46.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
45.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
45.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
45.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
45.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
45.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
45.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
44.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
44.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
44.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
44.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
44.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
44.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
44.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
43.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
43.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
43.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
43.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
43.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
43.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
43.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
43.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
42.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
42.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
42.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
42.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
42.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
41.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
41.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
41.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
40.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
40.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
40.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
40.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
40.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
39.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
39.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
39.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
38.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
37.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
36.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
36.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
36.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
32.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
30.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
24.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
