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.
STRN4 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
40.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
80.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
73.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
69.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
66.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
65.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
63.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
62.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
60.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
59.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
59.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
59.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
59.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
58.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
58.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
56.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
56.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
56.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
56.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
55.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
55.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
55.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
55.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
55.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
55.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
54.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
54.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
54.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
54.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
54.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
54.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
53.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
53.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
53.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
53.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
52.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
52.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
52.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
52.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
52.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
51.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
51.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
50.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
50.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
50.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
50.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
50.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
49.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
49.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
49.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
49.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
49.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
49.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
48.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
48.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
48.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
47.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
47.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
47.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
47.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
46.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
46.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
46.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
46.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
46.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
45.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
45.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
45.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
45.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
45.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
45.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
45.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
45.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
45.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
44.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
44.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
44.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
44.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
44.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
44.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
44.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
43.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
43.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
43.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
43.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
43.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
43.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
43.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
43.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
43.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
43.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
43.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
42.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
42.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
42.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
42.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
42.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
42.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
42.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
42.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
42.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
42.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
42.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
42.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
42.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
42.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
42.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
41.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
41.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
41.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
41.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
41.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
41.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
41.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
41.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
41.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
41.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
41.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
41.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
41.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
41.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
41.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
41.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
40.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
40.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
40.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
40.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
40.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
40.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
40.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
39.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
39.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
39.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
39.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
39.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
39.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
39.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
39.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
39.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
38.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
38.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
38.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
38.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
38.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
37.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
37.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
37.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
37.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
37.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
37.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
37.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
37.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
36.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
36.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
36.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
36.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
36.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
35.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
35.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
35.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
35.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
35.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
35.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
35.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
35.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
35.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
35.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
35.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
35.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
35.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
35.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
35.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
35.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
34.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
34.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
34.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
34.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
34.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
34.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
34.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
34.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
34.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
34.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
34.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
34.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
34.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
34.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
33.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
33.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
33.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
33.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
33.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
33.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
33.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
33.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
33.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
33.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
32.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
32.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
32.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
31.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
31.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
31.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
31.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
31.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
31.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
30.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
30.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
30.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
30.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
30.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
30.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
29.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
29.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
29.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
29.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
29.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
28.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
28.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
28.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
28.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
28.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
27.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
27.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
27.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
26.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
26.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
26.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
26.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
26.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
26.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
26.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
26.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
26.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
26.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
25.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
25.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
24.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
23.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
23.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
23.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
22.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
22.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
22.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
21.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
21.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
21.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
20.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
20.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
18.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
18.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
15.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
15.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
12.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
STRN4 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
40.4
Number of samples
486
Samples
Sample
Description
TPM
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
87.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
78.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
73.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
73.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
69.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
65.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
65.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
64.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
64.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
64.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
64.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
63.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
63.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
63.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
63.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
63.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
62.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
62.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
62.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
61.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
59.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
59.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
59.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
57.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
57.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
57.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
56.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
56.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
56.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
55.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
55.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
55.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
55.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
55.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
55.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
55.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
54.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
54.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
54.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
53.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
53.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
53.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
53.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
53.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
53.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
53.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
53.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
53.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
53.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
52.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
52.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
52.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
52.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
52.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
52.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
52.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
52.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
51.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
51.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
51.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
51.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
51.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
51.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
51.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
51.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
51.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
51.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
50.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
50.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
50.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
50.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
50.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
50.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
50.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
50.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
50.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
49.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
49.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
49.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
49.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
49.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
49.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
49.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
49.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
49.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
48.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
48.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
48.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
48.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
48.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
48.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
48.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
48.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
47.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
47.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
47.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
47.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
47.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
47.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
47.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
47.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
47.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
47.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
47.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
47.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
46.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
46.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
46.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
46.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
46.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
46.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
46.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
46.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
46.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
46.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
46.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
46.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
46.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
46.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
46.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
46.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
46.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
46.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
45.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
45.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
45.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
45.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
45.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
45.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
45.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
45.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
45.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
45.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
45.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
45.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
45.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
45.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
45.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
45.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
45.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
45.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
44.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
44.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
44.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
44.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
44.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
44.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
44.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
44.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
44.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
44.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
44.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
44.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
43.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
43.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
43.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
43.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
43.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
43.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
43.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
43.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
43.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
43.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
43.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
43.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
43.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
43.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
43.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
43.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
42.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
42.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
42.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
42.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
42.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
42.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
42.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
42.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
42.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
42.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
42.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
42.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
42.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
42.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
42.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
42.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
42.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
42.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
42.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
42.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
41.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
41.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
41.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
41.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
41.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
41.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
41.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
41.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
41.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
41.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
41.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
41.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
41.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
41.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
41.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
41.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
41.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
41.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
41.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
41.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
41.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
40.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
40.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
40.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
40.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
40.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
40.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
40.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
40.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
40.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
40.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
40.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
40.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
40.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
40.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
40.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
40.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
40.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
40.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
39.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
39.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
39.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
39.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
39.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
39.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
39.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
39.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
39.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
39.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
39.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
39.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
39.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
39.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
39.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
39.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
39.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
39.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
39.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
39.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
39.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
39.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
39.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
39.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
39.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
39.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
39.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
39.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
39.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
39.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
38.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
38.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
38.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
38.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
38.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
38.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
38.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
38.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
38.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
38.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
38.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
38.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
38.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
38.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
38.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
38.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
38.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
37.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
37.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
37.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
37.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
37.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
37.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
37.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
37.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
37.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
37.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
37.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
37.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
37.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
37.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
37.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
37.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
37.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
36.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
36.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
36.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
36.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
36.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
36.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
36.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
36.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
36.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
36.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
36.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
36.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
36.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
36.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
36.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
36.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
36.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
36.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
36.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
36.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
36.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
35.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
35.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
35.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
35.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
35.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
35.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
35.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
35.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
35.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
35.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
35.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
35.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
35.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
35.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
35.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
35.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
35.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
35.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
35.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
35.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
35.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
35.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
35.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
35.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
35.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
34.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
34.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
34.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
34.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
34.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
34.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
34.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
34.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
34.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
34.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
34.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
34.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
34.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
34.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
34.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
34.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
34.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
34.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
34.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
34.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
34.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
34.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
34.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
34.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
34.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
34.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
33.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
33.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
33.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
33.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
33.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
33.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
33.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
33.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
33.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
33.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
33.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
33.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
33.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
33.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
33.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
33.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
32.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
32.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
32.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
32.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
32.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
32.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
32.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
32.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
32.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
31.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
31.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
31.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
31.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
31.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
31.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
31.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
31.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
31.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
31.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
31.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
31.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
31.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
30.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
30.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
30.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
30.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
30.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
30.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
30.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
30.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
30.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
30.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
30.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
30.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
30.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
30.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
30.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
30.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
30.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
30.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
30.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
30.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
30.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
29.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
29.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
29.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
29.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
29.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
29.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
29.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
29.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
29.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
29.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
29.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
29.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
29.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
29.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
29.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
29.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
28.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
28.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
28.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
28.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
28.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
28.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
27.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
27.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
27.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
27.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
27.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
27.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
27.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
27.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
26.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
26.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
26.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
26.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
26.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
25.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
25.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
25.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
25.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
25.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
25.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
25.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
24.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
24.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
24.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
23.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
23.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
22.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
21.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
21.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
20.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
20.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
20.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
20.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
14.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.0
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.
STRN4 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
36.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
67.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
62.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
61.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
61.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
58.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
55.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
55.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
55.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
55.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
52.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
52.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
50.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
47.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
47.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
45.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
45.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
44.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
44.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
44.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
44.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
44.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
44.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
44.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
43.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
43.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
43.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
43.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
42.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
42.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
41.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
41.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
40.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
40.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
40.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
40.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
39.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
39.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
39.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
39.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
38.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
37.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
37.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
37.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
37.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
37.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
36.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
36.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
36.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
35.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
34.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
33.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
33.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
32.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
32.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
32.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
32.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
32.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
31.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
31.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
30.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
30.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
30.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
29.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
29.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
29.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
28.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
27.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
27.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
27.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
26.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
26.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
26.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
25.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
25.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
24.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
24.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
24.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
23.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
23.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
23.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
23.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
22.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
21.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
17.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
17.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
10.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
9.7
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.
STRN4 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
37.3
Number of samples
207
Samples
Sample
Description
TPM
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
79.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
67.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
57.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
57.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
56.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
55.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
53.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
52.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
51.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
51.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
51.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
50.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
50.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
50.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
49.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
49.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
49.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
49.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
48.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
48.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
47.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
47.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
47.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
46.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
46.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
46.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
46.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
46.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
45.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
45.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
45.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
45.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
45.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
45.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
45.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
45.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
45.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
44.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
44.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
44.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
44.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
44.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
44.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
43.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
43.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
43.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
43.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
43.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
43.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
42.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
42.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
42.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
42.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
42.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
42.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
42.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
41.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
41.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
41.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
41.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
41.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
41.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
41.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
41.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
41.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
41.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
41.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
40.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
40.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
40.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
40.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
40.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
40.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
39.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
39.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
39.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
39.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
39.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
39.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
39.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
39.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
39.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
38.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
38.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
38.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
38.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
38.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
38.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
38.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
38.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
38.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
38.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
38.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
38.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
37.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
37.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
37.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
37.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
37.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
37.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
37.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
37.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
36.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
36.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
36.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
36.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
36.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
36.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
36.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
36.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
36.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
35.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
35.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
35.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
35.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
35.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
35.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
35.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
35.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
35.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
35.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
35.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
34.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
34.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
34.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
34.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
34.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
34.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
33.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
33.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
33.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
33.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
33.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
33.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
33.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
33.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
33.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
33.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
33.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
33.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
32.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
32.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
32.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
32.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
32.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
32.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
32.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
31.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
31.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
31.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
31.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
31.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
31.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
31.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
31.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
31.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
30.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
30.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
30.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
30.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
30.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
30.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
30.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
30.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
30.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
30.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
30.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
30.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
29.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
29.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
29.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
29.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
29.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
29.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
29.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
28.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
28.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
28.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
28.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
28.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
27.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
27.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
27.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
27.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
27.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
27.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
27.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
27.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
27.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
26.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
26.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
26.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
26.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
26.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
25.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
23.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
23.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
23.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
23.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
23.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
23.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
23.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
21.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
21.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
14.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.8
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.6
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.8
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.9
b2400046-1d25-429d-a821-6040a6
Tumor
-1.3
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.