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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.
MED24 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
40.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
443.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
347.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
112.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
94.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
83.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
75.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
67.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
66.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
63.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
62.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
60.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
60.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
60.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
60.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
60.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
59.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
57.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
56.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
55.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
55.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
55.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
55.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
54.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
52.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
52.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
52.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
51.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
51.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
50.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
50.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
50.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
49.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
49.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
49.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
48.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
48.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
47.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
47.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
47.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
47.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
46.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
46.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
46.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
45.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
45.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
45.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
45.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
45.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
45.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
44.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
44.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
44.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
44.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
44.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
44.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
44.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
44.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
43.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
43.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
43.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
43.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
43.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
43.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
43.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
43.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
43.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
42.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
42.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
42.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
42.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
42.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
42.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
42.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
42.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
41.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
41.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
41.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
41.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
41.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
41.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
41.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
41.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
41.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
41.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
41.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
41.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
41.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
40.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
40.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
40.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
40.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
40.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
40.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
40.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
40.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
40.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
40.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
39.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
39.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
39.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
39.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
39.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
39.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
39.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
39.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
39.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
38.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
38.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
38.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
38.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
38.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
38.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
38.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
38.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
38.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
38.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
38.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
38.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
37.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
37.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
37.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
37.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
37.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
37.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
36.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
36.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
36.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
36.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
36.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
36.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
36.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
35.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
35.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
35.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
35.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
35.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
35.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
35.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
35.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
35.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
35.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
35.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
35.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
34.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
34.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
34.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
34.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
34.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
34.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
34.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
33.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
33.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
33.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
33.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
33.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
33.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
33.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
33.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
33.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
33.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
32.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
32.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
32.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
32.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
32.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
32.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
32.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
32.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
32.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
31.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
31.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
31.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
31.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
31.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
30.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
30.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
30.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
30.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
30.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
30.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
30.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
30.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
30.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
30.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
29.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
29.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
29.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
29.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
29.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
29.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
29.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
28.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
28.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
28.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
28.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
28.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
27.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
27.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
27.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
27.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
27.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
27.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
27.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
27.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
27.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
26.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
26.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
26.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
26.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
26.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
26.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
26.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
26.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
25.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
25.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
25.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
25.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
24.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
24.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
24.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
24.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
24.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
24.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
24.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
24.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
23.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
23.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
23.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
23.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
23.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
23.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
22.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
22.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
22.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
22.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
21.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
21.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
21.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
21.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
20.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
19.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
18.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
18.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
18.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
18.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
18.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
17.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
17.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
17.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
16.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
16.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
16.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
MED24 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
34.8
Number of samples
486
Samples
Sample
Description
TPM
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
747.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
131.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
95.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
79.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
72.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
69.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
68.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
68.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
66.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
65.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
65.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
64.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
63.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
60.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
60.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
59.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
59.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
57.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
57.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
57.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
56.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
56.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
55.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
55.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
55.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
54.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
53.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
53.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
53.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
53.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
53.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
52.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
52.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
51.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
51.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
51.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
50.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
50.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
50.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
50.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
50.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
50.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
50.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
49.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
49.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
48.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
48.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
48.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
47.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
47.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
47.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
47.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
47.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
47.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
47.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
47.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
46.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
46.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
46.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
46.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
46.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
46.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
46.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
46.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
46.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
46.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
45.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
45.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
45.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
45.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
45.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
45.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
45.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
45.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
44.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
44.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
44.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
44.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
44.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
43.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
43.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
43.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
43.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
43.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
43.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
43.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
43.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
43.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
43.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
43.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
43.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
43.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
43.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
43.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
43.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
43.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
42.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
42.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
42.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
42.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
42.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
42.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
41.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
41.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
41.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
41.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
40.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
40.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
40.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
40.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
40.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
40.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
40.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
40.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
40.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
40.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
40.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
40.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
39.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
39.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
39.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
39.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
39.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
39.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
39.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
39.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
39.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
39.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
38.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
38.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
38.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
38.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
38.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
38.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
38.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
38.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
38.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
38.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
38.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
38.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
38.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
38.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
38.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
38.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
38.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
37.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
37.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
37.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
37.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
37.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
37.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
37.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
37.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
37.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
37.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
37.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
37.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
36.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
36.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
36.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
36.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
36.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
36.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
36.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
36.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
36.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
36.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
36.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
36.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
36.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
36.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
36.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
35.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
35.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
35.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
35.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
35.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
35.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
35.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
35.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
35.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
35.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
35.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
35.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
35.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
35.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
35.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
35.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
35.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
34.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
34.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
34.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
34.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
34.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
34.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
34.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
34.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
34.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
34.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
34.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
34.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
34.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
34.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
34.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
34.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
34.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
33.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
33.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
33.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
33.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
33.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
33.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
33.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
33.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
33.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
33.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
33.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
33.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
33.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
33.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
33.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
33.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
33.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
32.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
32.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
32.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
32.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
32.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
32.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
32.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
32.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
32.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
32.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
32.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
32.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
32.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
32.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
32.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
32.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
32.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
32.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
32.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
32.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
32.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
32.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
32.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
32.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
31.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
31.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
31.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
31.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
31.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
31.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
31.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
31.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
31.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
31.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
31.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
31.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
31.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
31.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
30.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
30.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
30.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
30.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
30.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
30.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
30.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
30.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
30.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
30.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
30.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
30.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
30.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
30.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
30.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
30.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
29.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
29.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
29.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
29.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
29.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
29.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
29.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
29.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
29.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
29.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
29.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
29.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
29.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
29.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
28.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
28.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
28.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
28.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
28.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
28.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
28.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
28.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
28.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
28.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
28.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
28.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
28.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
28.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
28.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
28.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
27.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
27.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
27.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
27.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
27.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
27.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
27.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
27.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
27.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
27.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
27.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
27.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
27.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
27.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
27.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
26.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
26.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
26.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
26.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
26.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
26.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
26.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
26.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
26.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
26.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
26.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
26.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
26.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
26.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
26.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
26.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
26.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
26.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
26.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
26.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
26.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
26.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
25.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
25.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
25.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
25.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
25.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
25.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
25.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
25.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
25.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
25.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
25.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
25.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
25.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
24.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
24.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
24.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
24.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
24.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
24.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
24.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
24.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
24.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
24.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
24.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
23.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
23.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
23.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
23.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
23.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
23.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
23.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
23.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
23.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
23.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
23.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
23.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
23.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
23.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
23.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
23.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
23.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
23.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
23.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
23.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
23.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
23.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
23.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
22.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
22.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
22.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
22.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
22.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
22.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
22.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
22.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
22.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
22.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
22.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
22.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
22.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
22.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
22.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
22.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
22.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
22.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
22.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
22.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
22.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
22.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
22.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
22.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
21.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
21.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
21.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
21.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
21.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
21.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
21.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
21.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
21.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
21.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
21.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
21.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
20.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
20.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
20.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
20.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
20.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
20.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
20.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
20.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
20.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
20.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
20.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
20.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
20.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
20.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
20.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
19.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
19.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
19.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
19.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
19.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
19.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
19.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
19.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
19.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
19.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
18.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
18.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
18.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
18.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
18.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
18.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
18.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
18.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
18.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
17.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
17.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
16.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
16.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
16.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
16.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
16.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
16.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
15.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
15.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
15.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
15.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
15.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
15.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
15.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
15.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
14.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
14.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
14.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
14.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
13.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
12.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MED24 is potential prognostic, high expression is favorable 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
33.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
83.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
69.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
55.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
53.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
52.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
48.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
47.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
47.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
46.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
45.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
45.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
45.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
43.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
43.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
43.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
42.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
42.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
41.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
40.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
40.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
39.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
39.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
39.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
39.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
39.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
38.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
38.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
38.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
37.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
37.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
37.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
37.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
36.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
36.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
36.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
36.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
35.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
35.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
35.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
34.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
34.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
34.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
34.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
34.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
34.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
33.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
33.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
33.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
33.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
32.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
32.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
31.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
31.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
30.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
30.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
30.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
30.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
28.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
28.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
27.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
27.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
27.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
27.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
27.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
27.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
26.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
26.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
26.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
26.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
24.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
23.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
23.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
22.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
22.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
21.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
20.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
20.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
19.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
19.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
18.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
18.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
18.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
17.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
16.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
14.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
12.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
8.8
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.
MED24 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
37.7
Number of samples
207
Samples
Sample
Description
TPM
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
434.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
341.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
328.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
78.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
73.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
70.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
65.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
62.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
62.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
61.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
60.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
58.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
57.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
56.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
55.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
52.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
52.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
51.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
51.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
49.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
48.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
48.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
47.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
47.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
46.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
46.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
45.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
45.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
45.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
45.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
45.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
45.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
44.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
44.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
43.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
43.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
43.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
43.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
43.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
43.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
42.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
40.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
40.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
40.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
39.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
39.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
39.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
39.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
39.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
39.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
38.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
38.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
38.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
38.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
38.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
37.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
37.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
37.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
37.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
37.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
36.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
36.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
36.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
36.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
36.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
36.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
36.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
35.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
35.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
35.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
35.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
35.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
35.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
35.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
35.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
35.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
35.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
34.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
34.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
34.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
34.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
34.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
34.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
33.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
33.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
33.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
33.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
33.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
33.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
32.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
32.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
32.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
32.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
32.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
32.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
32.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
31.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
31.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
31.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
31.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
31.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
31.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
31.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
30.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
30.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
30.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
30.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
30.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
30.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
30.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
30.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
30.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
30.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
30.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
30.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
29.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
29.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
29.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
29.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
29.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
29.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
29.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
29.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
29.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
29.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
29.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
29.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
29.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
28.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
28.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
27.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
27.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
27.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
27.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
27.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
27.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
27.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
27.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
27.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
26.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
26.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
26.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
26.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
26.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
26.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
26.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
26.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
26.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
25.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
25.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
25.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
25.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
25.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
25.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
25.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
25.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
25.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
24.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
24.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
24.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
24.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
23.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
23.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
23.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
23.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
23.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
23.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
23.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
23.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
22.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
22.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
22.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
21.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
21.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
21.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
21.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
21.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
21.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
20.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
20.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
20.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
20.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
20.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
20.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
20.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
20.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
20.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
20.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
19.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
19.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
19.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
19.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
18.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
18.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
17.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
17.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
16.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
16.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
15.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
15.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
15.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
15.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
13.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
13.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
11.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
1.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
1.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.9
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.8
43192517-085e-450e-9481-0a6713_D3
Tumor
0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.8
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
