We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
ANO10 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
24.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
58.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
49.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
48.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
44.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
44.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
43.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
43.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
42.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
40.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
40.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
39.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
39.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
39.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
39.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
39.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
38.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
38.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
38.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
38.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
37.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
37.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
37.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
36.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
36.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
36.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
36.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
36.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
36.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
36.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
35.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
35.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
35.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
35.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
35.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
34.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
34.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
34.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
33.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
33.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
33.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
33.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
33.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
32.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
32.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
32.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
32.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
31.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
31.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
31.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
31.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
31.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
30.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
30.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
30.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
30.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
30.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
30.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
30.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
30.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
30.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
30.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
29.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
29.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
29.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
29.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
29.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
29.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
29.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
29.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
29.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
29.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
29.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
29.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
29.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
28.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
28.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
28.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
28.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
28.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
28.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
28.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
27.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
27.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
27.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
27.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
27.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
27.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
27.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
26.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
26.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
26.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
26.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
26.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
26.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
26.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
26.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
26.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
26.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
26.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
26.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
26.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
26.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
26.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
25.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
25.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
25.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
25.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
25.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
24.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
24.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
24.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
24.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
24.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
24.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
24.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
24.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
24.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
24.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
24.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
24.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
23.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
23.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
23.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
23.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
23.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
23.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
23.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
23.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
23.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
23.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
23.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
23.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
22.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
22.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
22.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
22.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
22.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
22.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
22.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
22.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
22.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
22.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
22.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
21.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
21.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
21.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
21.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
21.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
21.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
21.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
21.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
21.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
21.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
21.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
21.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
20.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
20.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
20.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
20.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
20.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
20.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
20.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
20.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
20.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
20.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
20.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
19.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
19.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
19.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
19.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
19.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
19.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
19.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
19.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
19.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
19.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
19.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
19.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
19.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
19.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
19.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
19.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
19.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
19.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
18.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
18.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
18.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
18.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
18.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
18.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
18.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
18.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
18.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
18.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
18.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
18.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
17.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
17.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
17.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
17.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
17.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
17.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
17.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
17.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
17.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
17.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
17.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
16.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
16.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
16.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
16.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
16.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
16.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
16.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
16.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
15.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
15.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
15.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
15.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
15.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
15.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
15.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
15.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
15.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
14.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
14.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
14.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
14.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
14.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
13.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
13.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
13.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
13.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
12.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
12.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
12.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
11.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
11.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
11.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
11.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
11.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
10.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
10.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
10.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
10.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
10.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
10.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
10.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
9.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
9.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
8.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
7.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
6.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 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.
ANO10 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
30.7
Number of samples
486
Samples
Sample
Description
TPM
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
65.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
64.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
63.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
62.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
62.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
61.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
60.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
59.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
57.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
57.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
57.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
54.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
53.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
53.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
53.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
52.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
52.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
51.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
50.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
50.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
50.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
49.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
49.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
48.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
48.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
48.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
48.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
48.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
48.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
48.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
47.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
47.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
46.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
46.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
46.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
46.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
46.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
45.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
45.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
45.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
45.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
45.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
45.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
44.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
44.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
44.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
43.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
43.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
43.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
43.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
43.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
43.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
43.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
42.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
42.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
42.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
42.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
42.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
42.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
42.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
41.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
41.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
41.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
41.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
41.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
41.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
41.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
41.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
41.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
41.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
41.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
41.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
40.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
40.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
40.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
40.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
40.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
39.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
39.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
39.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
39.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
39.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
39.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
39.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
39.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
39.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
39.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
38.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
38.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
38.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
38.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
38.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
38.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
38.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
38.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
38.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
38.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
38.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
38.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
38.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
38.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
38.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
38.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
37.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
37.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
37.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
37.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
37.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
37.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
37.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
37.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
36.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
36.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
36.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
36.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
36.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
36.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
36.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
36.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
35.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
35.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
35.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
35.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
35.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
35.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
35.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
35.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
35.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
34.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
34.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
34.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
34.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
34.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
34.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
34.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
34.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
34.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
34.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
34.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
34.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
34.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
34.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
34.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
34.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
34.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
34.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
34.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
34.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
33.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
33.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
33.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
33.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
33.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
33.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
33.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
33.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
33.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
33.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
33.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
33.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
33.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
33.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
33.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
33.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
33.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
33.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
33.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
32.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
32.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
32.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
32.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
32.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
32.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
32.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
32.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
32.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
32.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
32.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
32.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
32.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
32.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
32.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
32.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
32.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
32.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
32.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
31.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
31.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
31.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
31.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
31.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
31.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
31.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
31.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
31.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
31.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
31.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
31.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
31.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
31.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
31.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
31.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
31.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
31.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
31.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
31.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
31.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
31.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
31.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
31.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
31.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
30.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
30.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
30.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
30.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
30.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
30.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
30.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
30.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
30.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
30.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
30.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
30.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
30.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
30.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
30.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
30.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
30.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
30.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
30.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
30.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
30.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
30.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
30.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
30.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
30.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
30.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
29.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
29.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
29.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
29.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
29.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
29.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
29.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
29.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
29.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
29.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
29.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
29.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
29.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
29.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
29.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
29.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
29.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
29.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
29.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
28.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
28.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
28.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
28.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
28.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
28.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
28.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
28.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
28.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
28.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
28.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
28.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
28.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
28.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
28.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
28.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
28.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
28.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
27.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
27.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
27.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
27.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
27.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
27.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
27.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
27.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
27.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
27.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
27.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
27.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
27.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
27.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
27.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
27.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
27.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
27.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
27.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
27.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
27.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
27.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
27.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
27.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
27.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
27.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
27.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
26.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
26.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
26.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
26.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
26.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
26.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
26.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
26.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
26.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
26.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
26.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
26.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
26.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
26.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
26.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
26.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
26.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
26.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
26.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
26.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
26.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
26.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
26.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
26.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
26.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
25.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
25.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
25.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
25.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
25.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
25.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
25.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
25.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
25.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
25.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
25.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
24.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
24.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
24.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
24.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
24.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
24.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
24.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
24.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
24.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
24.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
24.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
24.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
24.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
24.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
24.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
24.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
24.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
24.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
24.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
24.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
24.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
24.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
24.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
24.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
23.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
23.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
23.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
23.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
23.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
23.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
23.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
23.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
23.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
23.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
23.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
23.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
23.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
23.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
23.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
23.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
23.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
23.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
23.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
23.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
23.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
22.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
22.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
22.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
22.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
22.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
22.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
22.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
22.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
22.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
22.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
22.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
22.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
22.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
22.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
22.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
22.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
21.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
21.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
21.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
21.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
21.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
21.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
21.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
21.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
21.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
21.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
21.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
21.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
21.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
21.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
21.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
21.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
21.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
21.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
21.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
21.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
21.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
21.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
20.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
20.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
20.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
20.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
20.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
20.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
20.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
20.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
20.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
19.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
19.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
19.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
19.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
19.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
19.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
19.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
19.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
19.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
19.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
18.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
18.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
18.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
18.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
18.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
18.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
18.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
18.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
18.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
17.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
17.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
17.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
17.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
16.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
16.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
16.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
16.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
16.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
16.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
16.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
16.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
15.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
15.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
15.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
15.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
15.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
14.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
14.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
14.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
14.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
14.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
13.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
13.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
13.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
13.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
13.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
12.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
12.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
12.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
12.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.4
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.
ANO10 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
25.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
52.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
47.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
45.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
42.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
41.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
38.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
37.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
36.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
35.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
35.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
35.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
34.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
34.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
34.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
33.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
32.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
32.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
32.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
32.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
32.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
32.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
30.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
30.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
30.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
30.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
30.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
30.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
29.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
29.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
29.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
29.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
28.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
28.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
28.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
27.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
27.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
27.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
27.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
27.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
26.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
26.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
26.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
25.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
25.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
24.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
24.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
24.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
23.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
23.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
22.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
22.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
22.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
22.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
22.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
22.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
21.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
20.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
20.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
20.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
20.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
20.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
19.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
19.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
19.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
19.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
18.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
18.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
18.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
17.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
17.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
17.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
17.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
17.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
17.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
17.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
17.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
16.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
16.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
16.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
16.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
13.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
13.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
12.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
12.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
12.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
11.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
8.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
ANO10 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
29.3
Number of samples
207
Samples
Sample
Description
TPM
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
54.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
52.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
52.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
51.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
48.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
48.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
47.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
46.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
44.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
44.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
43.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
42.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
42.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
42.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
40.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
40.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
40.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
40.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
39.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
39.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
39.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
39.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
38.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
38.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
38.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
38.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
38.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
38.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
38.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
38.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
37.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
37.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
37.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
37.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
37.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
37.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
36.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
36.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
36.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
36.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
36.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
36.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
36.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
36.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
36.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
35.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
35.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
35.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
35.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
34.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
34.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
34.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
34.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
34.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
34.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
34.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
34.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
33.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
33.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
33.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
33.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
33.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
32.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
32.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
32.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
32.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
31.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
31.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
31.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
31.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
31.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
31.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
31.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
31.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
31.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
31.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
31.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
31.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
30.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
30.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
30.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
30.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
30.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
29.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
29.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
29.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
29.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
29.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
29.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
29.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
29.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
29.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
29.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
28.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
28.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
28.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
28.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
28.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
28.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
28.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
28.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
28.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
28.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
28.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
28.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
28.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
28.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
28.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
27.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
27.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
27.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
27.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
27.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
27.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
27.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
27.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
27.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
27.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
27.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
27.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
27.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
27.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
27.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
27.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
27.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
26.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
26.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
26.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
26.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
26.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
26.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
26.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
26.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
26.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
26.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
26.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
26.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
26.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
26.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
25.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
25.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
25.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
25.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
25.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
25.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
24.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
24.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
24.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
24.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
24.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
24.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
24.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
24.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
23.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
23.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
23.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
23.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
23.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
23.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
23.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
23.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
22.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
22.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
22.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
22.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
22.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
22.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
21.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
21.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
21.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
21.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
21.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
21.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
21.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
20.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
20.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
20.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
20.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
20.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
20.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
19.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
19.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
19.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
19.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
19.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
19.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
19.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
18.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
18.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
18.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
18.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
18.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
18.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
18.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
18.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
16.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
16.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
16.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
16.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
16.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
15.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
15.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
15.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
14.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
13.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
13.7
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
1.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.8
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.8
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.6
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.6
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.8
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.9
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.2
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
