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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
DCTN1 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
32.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
60.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
60.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
56.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
55.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
54.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
52.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
51.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
50.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
49.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
49.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
49.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
48.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
48.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
48.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
47.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
47.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
47.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
47.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
46.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
46.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
45.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
45.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
45.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
45.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
45.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
44.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
44.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
44.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
44.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
44.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
43.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
43.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
43.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
42.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
42.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
42.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
42.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
41.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
41.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
41.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
41.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
41.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
41.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
41.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
41.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
40.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
40.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
40.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
40.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
39.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
39.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
39.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
39.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
39.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
39.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
39.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
39.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
39.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
39.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
39.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
38.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
38.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
38.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
38.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
37.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
37.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
37.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
37.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
37.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
37.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
37.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
37.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
37.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
36.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
36.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
36.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
36.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
36.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
36.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
36.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
36.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
36.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
36.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
36.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
36.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
36.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
36.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
36.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
36.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
35.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
35.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
35.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
35.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
35.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
35.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
35.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
34.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
34.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
34.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
34.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
34.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
34.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
34.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
34.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
34.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
34.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
34.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
33.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
33.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
33.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
33.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
33.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
33.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
32.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
32.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
32.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
32.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
32.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
32.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
32.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
32.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
32.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
32.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
32.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
31.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
31.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
31.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
31.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
31.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
31.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
31.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
31.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
31.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
31.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
31.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
31.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
31.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
30.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
30.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
30.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
30.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
29.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
29.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
29.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
29.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
29.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
29.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
29.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
28.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
28.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
28.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
28.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
28.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
28.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
28.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
28.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
28.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
28.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
27.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
27.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
27.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
27.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
27.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
27.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
27.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
27.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
27.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
27.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
27.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
27.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
27.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
27.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
27.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
27.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
27.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
26.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
26.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
26.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
26.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
26.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
26.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
26.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
25.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
25.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
25.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
25.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
25.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
25.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
25.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
25.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
25.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
25.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
25.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
25.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
24.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
24.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
24.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
24.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
24.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
24.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
23.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
23.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
23.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
23.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
23.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
23.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
23.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
23.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
23.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
23.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
23.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
22.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
22.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
22.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
22.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
22.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
22.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
22.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
22.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
22.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
22.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
22.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
21.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
21.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
21.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
21.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
21.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
21.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
20.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
20.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
20.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
19.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
19.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
19.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
19.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
19.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
19.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
18.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
18.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
18.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
17.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
17.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
17.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
16.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
16.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
16.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
16.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
15.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
15.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
15.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
14.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
14.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 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.
DCTN1 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
37.4
Number of samples
486
Samples
Sample
Description
TPM
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
67.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
65.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
65.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
63.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
62.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
62.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
61.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
61.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
61.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
61.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
61.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
60.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
60.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
60.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
60.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
59.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
59.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
59.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
58.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
57.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
57.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
57.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
57.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
57.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
56.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
56.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
56.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
56.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
56.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
56.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
55.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
55.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
54.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
54.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
54.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
54.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
54.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
53.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
53.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
53.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
53.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
52.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
52.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
52.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
52.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
52.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
52.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
52.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
51.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
51.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
51.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
51.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
51.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
51.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
51.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
51.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
50.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
50.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
50.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
50.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
50.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
49.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
49.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
49.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
49.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
49.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
49.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
49.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
48.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
48.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
48.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
48.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
48.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
48.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
48.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
48.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
48.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
48.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
48.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
47.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
47.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
47.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
47.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
47.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
47.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
47.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
47.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
47.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
47.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
47.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
47.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
47.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
46.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
46.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
46.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
46.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
46.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
46.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
46.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
46.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
46.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
46.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
46.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
46.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
46.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
45.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
45.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
45.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
45.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
45.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
45.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
44.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
44.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
44.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
44.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
44.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
44.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
44.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
44.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
44.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
43.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
43.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
43.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
43.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
43.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
43.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
43.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
43.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
42.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
42.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
42.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
42.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
42.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
42.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
42.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
42.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
42.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
42.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
42.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
42.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
42.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
42.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
42.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
42.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
42.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
42.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
42.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
42.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
41.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
41.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
41.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
41.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
41.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
41.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
41.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
41.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
41.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
41.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
41.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
41.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
41.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
41.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
41.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
41.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
41.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
41.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
41.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
40.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
40.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
40.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
40.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
40.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
40.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
40.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
40.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
40.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
40.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
40.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
40.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
40.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
39.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
39.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
39.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
39.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
39.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
39.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
39.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
39.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
39.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
39.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
39.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
39.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
39.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
39.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
39.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
39.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
39.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
38.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
38.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
38.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
38.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
38.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
38.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
38.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
38.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
38.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
38.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
38.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
38.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
38.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
38.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
38.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
38.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
38.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
37.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
37.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
37.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
37.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
37.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
37.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
37.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
37.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
37.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
37.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
37.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
37.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
37.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
37.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
37.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
37.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
37.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
37.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
37.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
37.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
36.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
36.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
36.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
36.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
36.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
36.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
36.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
36.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
36.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
36.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
36.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
36.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
36.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
36.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
36.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
36.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
35.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
35.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
35.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
35.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
35.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
35.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
35.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
35.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
35.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
35.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
35.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
35.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
35.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
35.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
35.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
35.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
35.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
35.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
34.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
34.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
34.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
34.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
34.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
34.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
34.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
34.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
34.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
34.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
34.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
34.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
34.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
34.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
34.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
34.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
34.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
34.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
34.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
33.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
33.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
33.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
33.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
33.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
33.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
33.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
33.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
33.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
33.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
33.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
33.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
33.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
33.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
33.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
33.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
33.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
33.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
33.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
33.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
33.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
33.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
33.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
33.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
33.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
33.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
32.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
32.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
32.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
32.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
32.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
32.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
32.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
32.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
32.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
32.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
32.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
32.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
32.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
32.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
32.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
32.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
32.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
32.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
32.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
31.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
31.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
31.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
31.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
31.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
31.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
31.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
31.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
31.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
31.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
31.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
31.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
31.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
31.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
31.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
31.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
31.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
31.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
31.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
31.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
31.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
30.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
30.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
30.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
30.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
30.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
30.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
30.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
30.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
30.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
30.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
30.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
30.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
30.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
30.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
29.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
29.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
29.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
29.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
29.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
29.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
29.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
29.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
29.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
29.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
29.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
29.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
29.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
29.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
29.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
29.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
29.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
29.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
29.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
29.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
29.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
28.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
28.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
28.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
28.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
28.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
28.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
28.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
28.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
28.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
28.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
28.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
28.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
28.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
28.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
28.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
28.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
27.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
27.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
27.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
27.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
27.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
27.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
27.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
27.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
27.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
27.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
27.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
27.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
27.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
27.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
27.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
27.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
26.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
26.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
26.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
26.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
26.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
26.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
26.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
26.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
26.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
26.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
26.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
26.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
25.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
25.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
25.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
25.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
25.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
25.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
25.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
25.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
25.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
25.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
25.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
24.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
24.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
24.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
24.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
24.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
24.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
24.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
24.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
23.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
23.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
23.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
23.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
23.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
23.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
23.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
22.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
22.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
22.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
22.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
21.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
21.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
21.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
21.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
20.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
20.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
19.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
19.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
19.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
18.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
18.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
18.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
17.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
16.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
15.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
14.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
11.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
11.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
4.7
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.
DCTN1 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
30.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
54.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
50.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
49.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
48.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
47.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
45.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
45.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
44.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
43.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
43.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
42.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
41.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
40.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
39.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
38.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
38.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
38.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
37.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
37.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
37.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
37.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
37.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
36.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
36.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
36.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
35.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
35.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
35.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
34.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
34.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
33.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
33.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
32.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
32.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
31.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
31.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
31.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
31.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
30.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
30.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
30.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
29.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
29.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
29.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
29.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
29.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
29.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
29.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
28.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
28.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
28.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
28.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
27.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
27.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
27.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
27.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
27.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
27.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
27.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
26.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
26.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
26.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
26.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
25.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
25.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
25.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
25.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
24.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
24.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
23.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
23.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
23.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
23.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
23.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
22.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
22.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
22.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
21.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
21.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
20.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
19.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
17.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
15.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
15.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
12.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
12.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.6
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.
DCTN1 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
35.8
Number of samples
207
Samples
Sample
Description
TPM
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
69.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
67.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
64.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
58.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
57.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
56.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
55.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
53.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
52.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
52.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
51.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
51.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
50.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
50.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
50.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
49.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
49.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
49.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
48.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
48.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
48.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
48.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
48.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
48.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
46.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
46.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
45.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
45.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
45.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
45.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
44.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
44.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
44.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
44.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
44.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
43.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
43.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
43.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
43.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
43.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
43.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
42.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
42.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
42.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
42.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
42.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
42.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
42.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
41.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
41.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
41.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
41.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
41.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
41.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
41.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
41.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
41.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
41.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
41.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
41.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
41.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
41.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
40.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
40.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
40.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
40.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
40.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
40.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
39.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
39.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
39.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
39.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
39.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
39.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
38.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
38.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
38.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
38.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
38.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
38.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
37.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
37.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
37.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
37.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
37.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
37.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
36.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
36.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
36.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
36.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
36.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
36.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
36.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
35.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
35.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
35.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
35.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
35.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
34.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
34.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
34.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
34.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
34.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
34.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
34.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
34.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
34.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
34.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
34.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
34.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
34.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
34.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
34.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
33.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
33.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
33.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
33.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
33.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
33.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
33.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
33.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
33.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
32.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
32.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
32.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
32.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
32.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
32.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
32.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
31.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
31.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
31.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
31.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
31.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
31.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
31.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
31.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
30.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
30.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
30.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
30.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
30.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
30.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
30.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
30.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
30.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
30.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
29.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
29.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
29.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
29.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
29.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
29.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
29.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
29.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
29.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
29.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
29.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
28.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
28.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
28.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
28.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
28.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
28.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
28.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
27.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
27.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
27.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
27.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
27.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
27.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
27.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
27.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
27.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
27.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
26.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
26.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
26.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
26.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
26.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
26.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
25.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
25.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
25.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
25.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
25.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
24.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
24.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
24.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
24.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
23.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
23.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
23.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
23.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
23.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
22.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
21.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
20.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
19.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
19.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
19.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
17.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
17.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
17.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
13.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
13.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
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Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
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Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
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Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
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Tumor
0.0
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
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Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
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Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
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Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
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Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
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Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
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Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
