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.
ATG9A 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
27.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
64.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
52.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
51.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
49.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
46.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
45.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
45.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
44.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
43.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
43.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
42.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
41.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
40.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
40.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
40.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
40.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
40.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
40.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
40.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
39.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
39.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
38.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
38.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
37.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
37.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
37.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
37.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
37.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
37.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
37.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
37.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
36.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
36.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
36.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
36.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
36.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
35.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
35.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
35.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
34.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
34.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
34.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
34.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
34.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
33.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
33.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
33.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
33.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
33.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
33.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
33.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
32.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
32.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
32.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
32.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
31.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
31.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
31.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
31.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
31.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
31.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
31.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
30.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
30.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
30.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
30.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
30.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
30.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
30.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
30.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
30.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
30.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
30.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
30.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
30.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
29.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
29.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
29.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
29.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
29.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
29.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
29.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
29.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
29.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
29.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
29.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
29.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
28.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
28.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
28.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
28.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
28.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
28.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
28.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
28.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
28.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
28.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
28.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
28.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
28.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
28.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
28.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
28.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
28.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
28.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
28.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
28.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
27.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
27.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
27.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
27.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
27.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
27.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
27.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
27.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
27.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
27.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
27.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
27.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
27.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
27.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
27.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
27.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
27.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
27.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
26.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
26.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
26.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
26.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
26.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
26.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
26.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
26.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
26.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
26.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
26.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
26.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
26.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
26.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
26.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
25.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
25.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
25.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
25.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
25.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
25.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
25.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
25.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
25.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
25.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
24.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
24.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
24.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
24.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
24.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
24.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
24.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
24.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
24.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
24.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
24.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
24.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
24.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
24.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
24.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
24.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
23.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
23.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
23.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
23.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
23.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
23.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
23.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
23.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
23.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
23.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
22.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
22.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
22.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
22.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
22.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
22.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
22.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
22.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
22.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
22.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
22.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
22.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
21.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
21.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
21.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
21.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
21.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
21.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
21.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
21.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
21.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
21.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
21.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
20.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
20.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
20.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
20.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
20.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
20.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
20.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
19.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
19.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
19.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
19.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
19.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
19.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
19.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
19.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
19.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
19.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
19.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
19.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
18.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
18.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
18.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
18.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
18.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
18.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
18.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
17.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
17.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
17.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
17.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
17.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
16.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
16.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
16.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
16.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
15.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
15.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
14.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
14.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
14.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
14.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
14.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
14.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
13.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
13.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
13.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
13.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
13.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
13.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
13.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
12.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
11.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
11.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
10.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
ATG9A 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
36.4
Number of samples
486
Samples
Sample
Description
TPM
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
76.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
65.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
62.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
62.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
61.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
61.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
59.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
59.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
58.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
57.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
56.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
55.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
55.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
54.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
54.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
54.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
54.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
53.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
53.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
53.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
53.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
53.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
52.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
52.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
51.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
51.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
51.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
51.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
50.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
50.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
50.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
49.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
49.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
49.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
49.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
49.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
48.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
48.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
48.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
48.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
48.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
48.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
48.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
48.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
47.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
47.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
47.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
47.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
47.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
47.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
47.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
46.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
46.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
46.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
46.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
46.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
46.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
46.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
46.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
46.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
46.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
46.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
46.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
46.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
45.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
45.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
45.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
45.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
45.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
45.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
45.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
45.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
45.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
44.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
44.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
44.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
44.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
44.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
44.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
44.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
44.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
44.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
44.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
44.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
44.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
44.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
44.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
43.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
43.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
43.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
43.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
43.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
43.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
43.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
43.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
43.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
43.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
43.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
42.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
42.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
42.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
42.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
42.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
42.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
42.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
42.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
42.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
42.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
42.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
42.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
42.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
42.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
42.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
41.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
41.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
41.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
41.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
41.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
41.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
41.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
41.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
41.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
41.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
41.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
41.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
41.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
41.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
41.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
41.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
41.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
41.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
41.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
41.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
41.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
40.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
40.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
40.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
40.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
40.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
40.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
40.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
40.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
40.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
40.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
40.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
39.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
39.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
39.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
39.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
39.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
39.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
39.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
39.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
39.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
39.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
39.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
39.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
39.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
39.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
39.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
39.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
39.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
38.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
38.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
38.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
38.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
38.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
38.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
38.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
38.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
38.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
38.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
38.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
38.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
38.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
38.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
38.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
38.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
38.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
38.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
38.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
38.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
38.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
38.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
38.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
38.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
37.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
37.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
37.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
37.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
37.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
37.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
37.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
37.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
37.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
37.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
37.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
37.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
37.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
37.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
37.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
37.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
37.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
37.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
37.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
37.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
36.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
36.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
36.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
36.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
36.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
36.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
36.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
36.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
36.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
36.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
36.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
36.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
36.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
36.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
36.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
36.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
36.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
36.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
36.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
36.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
36.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
36.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
36.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
36.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
36.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
36.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
36.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
36.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
35.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
35.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
35.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
35.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
35.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
35.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
35.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
35.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
35.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
35.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
35.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
35.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
35.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
35.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
35.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
35.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
34.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
34.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
34.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
34.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
34.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
34.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
34.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
34.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
34.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
34.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
34.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
34.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
34.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
34.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
34.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
34.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
34.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
34.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
34.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
34.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
34.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
34.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
34.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
34.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
34.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
34.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
34.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
34.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
34.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
34.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
34.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
34.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
33.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
33.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
33.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
33.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
33.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
33.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
33.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
33.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
33.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
33.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
33.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
33.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
33.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
33.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
33.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
33.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
33.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
33.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
33.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
33.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
33.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
33.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
33.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
33.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
33.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
33.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
33.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
33.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
33.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
33.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
32.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
32.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
32.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
32.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
32.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
32.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
32.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
32.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
32.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
32.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
32.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
32.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
32.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
32.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
32.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
32.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
32.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
32.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
32.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
32.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
32.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
32.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
32.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
32.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
32.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
32.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
32.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
32.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
32.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
31.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
31.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
31.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
31.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
31.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
31.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
31.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
31.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
31.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
31.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
31.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
31.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
31.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
31.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
31.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
31.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
31.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
31.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
31.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
30.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
30.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
30.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
30.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
30.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
30.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
30.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
30.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
30.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
30.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
30.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
30.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
30.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
30.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
30.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
30.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
30.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
30.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
29.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
29.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
29.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
29.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
29.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
29.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
29.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
29.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
29.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
29.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
29.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
29.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
29.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
29.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
29.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
29.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
29.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
29.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
29.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
28.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
28.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
28.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
28.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
28.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
28.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
28.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
28.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
28.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
28.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
28.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
28.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
27.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
27.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
27.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
27.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
27.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
27.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
27.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
27.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
27.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
27.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
27.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
27.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
27.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
27.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
27.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
27.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
27.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
27.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
27.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
27.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
27.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
26.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
26.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
26.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
26.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
26.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
26.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
26.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
26.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
26.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
26.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
26.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
26.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
26.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
25.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
25.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
25.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
25.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
25.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
25.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
25.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
25.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
25.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
25.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
24.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
24.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
24.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
24.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
24.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
24.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
24.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
24.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
23.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
23.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
23.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
23.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
23.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
23.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
23.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
22.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
22.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
22.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
22.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
22.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
22.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
21.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
20.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
19.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
19.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
18.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
17.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
6.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
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.
ATG9A 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
25.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
43.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
42.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
42.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
40.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
39.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
38.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
36.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
35.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
34.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
34.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
34.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
34.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
33.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
33.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
32.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
32.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
32.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
32.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
31.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
31.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
30.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
30.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
30.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
30.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
29.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
29.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
29.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
29.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
28.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
28.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
28.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
28.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
28.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
28.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
28.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
28.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
28.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
27.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
27.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
26.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
26.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
26.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
26.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
26.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
26.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
25.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
25.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
25.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
25.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
25.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
25.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
25.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
25.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
25.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
24.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
24.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
24.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
24.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
23.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
23.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
23.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
23.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
22.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
21.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
21.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
21.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
21.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
21.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
20.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
19.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
19.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
18.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
18.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
18.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
18.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
17.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
17.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
17.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
16.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
16.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
16.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
15.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
15.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
13.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
11.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
8.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ATG9A 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
33.7
Number of samples
207
Samples
Sample
Description
TPM
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
57.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
56.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
55.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
55.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
53.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
53.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
53.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
53.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
52.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
51.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
51.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
50.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
50.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
47.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
46.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
46.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
45.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
45.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
45.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
45.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
45.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
45.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
44.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
44.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
44.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
44.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
44.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
43.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
43.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
43.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
43.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
42.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
42.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
42.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
42.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
42.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
42.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
41.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
41.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
41.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
40.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
40.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
40.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
40.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
39.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
39.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
39.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
39.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
39.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
38.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
38.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
38.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
38.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
38.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
37.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
37.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
37.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
37.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
37.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
37.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
37.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
37.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
37.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
37.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
36.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
36.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
36.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
36.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
36.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
35.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
35.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
35.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
35.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
35.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
35.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
35.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
34.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
34.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
34.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
34.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
34.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
34.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
34.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
34.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
34.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
33.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
33.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
33.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
33.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
33.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
33.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
33.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
33.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
32.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
32.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
32.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
32.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
32.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
32.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
32.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
32.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
32.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
32.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
32.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
32.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
32.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
31.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
31.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
31.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
31.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
31.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
31.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
31.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
31.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
31.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
31.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
31.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
31.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
31.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
31.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
30.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
30.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
30.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
30.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
30.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
30.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
30.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
30.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
30.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
30.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
30.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
30.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
30.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
29.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
29.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
29.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
29.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
29.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
28.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
28.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
28.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
28.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
28.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
28.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
28.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
28.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
28.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
28.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
28.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
28.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
28.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
27.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
27.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
27.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
27.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
27.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
27.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
27.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
27.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
27.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
27.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
27.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
27.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
27.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
27.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
27.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
27.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
27.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
27.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
27.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
27.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
26.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
26.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
26.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
26.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
26.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
26.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
26.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
26.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
25.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
25.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
25.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
25.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
25.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
24.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
24.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
24.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
24.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
24.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
24.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
24.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
23.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
23.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
23.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
23.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
23.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
23.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
22.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
21.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
19.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
19.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
19.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
18.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
17.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
17.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
14.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.0
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
1.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
1.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
1.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.8
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.8
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.8
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.7
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.6
b2400046-1d25-429d-a821-6040a6
Tumor
-0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.8
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-1.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-1.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-2.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
