We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RNF130 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
33.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
70.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
64.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
64.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
64.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
63.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
62.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
60.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
58.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
58.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
56.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
55.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
55.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
55.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
53.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
53.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
52.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
51.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
50.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
50.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
50.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
50.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
49.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
49.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
49.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
48.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
48.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
47.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
47.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
47.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
46.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
46.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
45.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
45.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
45.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
45.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
44.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
44.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
44.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
44.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
43.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
43.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
43.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
43.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
43.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
43.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
43.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
43.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
43.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
43.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
43.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
42.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
42.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
41.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
41.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
41.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
41.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
41.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
41.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
41.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
41.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
40.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
40.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
40.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
40.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
40.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
39.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
39.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
39.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
39.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
39.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
38.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
38.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
38.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
38.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
37.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
37.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
37.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
37.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
37.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
37.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
37.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
37.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
36.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
36.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
36.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
36.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
36.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
36.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
36.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
36.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
36.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
35.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
35.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
35.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
35.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
35.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
35.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
35.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
34.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
34.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
34.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
34.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
34.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
34.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
34.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
34.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
33.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
33.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
33.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
33.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
33.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
33.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
33.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
33.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
33.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
33.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
32.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
32.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
32.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
32.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
32.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
32.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
32.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
32.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
32.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
31.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
31.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
31.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
31.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
31.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
31.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
31.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
31.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
31.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
31.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
30.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
30.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
30.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
30.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
30.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
30.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
30.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
30.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
30.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
30.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
30.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
30.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
29.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
29.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
29.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
29.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
29.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
29.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
29.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
29.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
29.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
28.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
28.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
28.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
28.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
28.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
28.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
28.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
28.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
28.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
28.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
28.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
28.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
28.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
28.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
28.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
28.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
28.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
27.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
27.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
27.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
27.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
27.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
27.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
27.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
26.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
26.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
26.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
26.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
26.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
26.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
26.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
26.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
26.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
26.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
25.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
25.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
25.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
25.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
25.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
25.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
25.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
24.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
24.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
24.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
24.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
24.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
24.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
24.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
24.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
24.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
23.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
23.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
23.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
23.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
23.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
23.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
23.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
23.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
22.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
22.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
22.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
22.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
22.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
22.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
22.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
22.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
21.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
21.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
20.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
20.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
20.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
20.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
19.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
19.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
19.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
19.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
19.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
19.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
18.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
18.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
17.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
17.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
17.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
16.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
16.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
16.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
16.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
15.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
15.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
15.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
15.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
14.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
14.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
14.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
13.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
10.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
6.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 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.
RNF130 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
40.8
Number of samples
486
Samples
Sample
Description
TPM
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
78.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
78.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
74.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
73.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
72.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
71.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
70.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
70.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
69.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
69.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
68.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
67.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
66.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
65.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
65.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
64.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
64.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
64.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
64.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
63.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
63.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
63.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
62.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
62.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
62.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
62.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
61.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
61.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
60.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
59.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
59.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
59.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
58.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
58.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
57.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
57.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
57.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
57.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
57.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
57.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
57.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
57.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
57.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
56.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
56.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
56.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
56.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
56.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
56.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
56.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
56.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
55.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
55.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
55.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
55.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
55.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
55.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
54.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
54.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
53.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
53.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
53.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
53.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
53.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
53.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
53.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
53.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
53.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
52.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
52.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
52.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
52.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
52.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
52.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
52.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
52.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
52.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
52.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
51.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
51.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
51.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
51.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
51.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
51.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
51.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
51.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
51.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
51.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
50.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
50.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
50.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
50.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
50.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
49.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
49.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
49.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
49.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
49.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
48.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
48.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
48.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
48.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
48.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
48.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
48.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
48.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
48.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
48.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
48.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
48.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
48.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
48.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
47.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
47.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
47.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
47.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
47.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
47.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
47.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
47.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
47.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
47.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
47.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
46.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
46.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
46.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
46.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
46.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
46.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
46.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
46.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
46.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
46.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
46.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
46.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
46.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
46.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
45.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
45.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
45.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
45.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
45.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
45.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
45.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
45.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
45.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
45.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
45.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
45.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
45.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
45.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
45.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
45.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
45.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
45.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
44.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
44.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
44.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
44.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
44.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
44.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
44.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
44.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
44.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
44.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
44.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
44.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
44.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
44.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
43.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
43.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
43.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
43.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
43.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
43.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
43.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
43.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
43.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
43.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
43.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
43.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
43.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
43.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
43.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
43.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
43.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
43.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
42.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
42.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
42.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
42.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
42.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
42.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
42.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
42.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
42.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
42.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
42.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
42.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
42.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
42.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
42.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
42.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
42.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
42.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
42.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
42.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
41.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
41.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
41.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
41.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
41.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
41.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
41.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
41.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
41.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
41.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
41.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
41.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
41.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
41.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
41.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
41.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
41.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
41.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
41.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
41.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
41.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
41.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
40.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
40.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
40.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
40.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
40.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
40.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
40.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
40.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
40.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
40.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
40.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
40.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
40.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
40.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
40.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
40.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
40.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
40.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
39.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
39.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
39.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
39.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
39.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
39.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
39.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
39.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
39.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
39.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
39.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
39.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
39.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
39.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
39.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
39.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
39.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
39.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
39.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
39.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
39.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
38.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
38.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
38.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
38.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
38.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
38.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
38.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
38.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
38.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
38.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
38.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
38.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
38.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
38.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
38.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
38.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
38.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
38.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
38.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
37.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
37.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
37.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
37.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
37.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
37.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
37.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
37.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
37.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
37.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
37.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
37.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
37.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
37.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
37.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
36.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
36.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
36.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
36.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
36.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
36.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
36.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
36.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
36.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
36.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
36.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
36.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
36.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
36.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
36.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
35.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
35.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
35.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
35.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
35.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
35.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
35.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
35.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
35.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
35.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
35.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
34.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
34.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
34.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
34.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
34.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
34.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
34.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
34.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
34.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
34.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
34.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
34.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
34.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
34.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
34.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
34.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
33.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
33.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
33.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
33.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
33.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
33.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
33.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
33.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
33.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
33.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
33.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
33.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
33.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
33.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
32.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
32.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
32.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
32.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
32.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
32.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
32.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
32.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
32.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
32.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
32.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
31.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
31.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
31.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
31.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
31.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
31.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
31.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
31.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
31.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
31.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
31.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
31.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
31.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
31.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
31.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
31.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
31.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
31.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
30.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
30.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
30.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
30.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
30.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
30.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
30.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
30.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
30.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
30.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
30.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
30.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
30.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
30.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
29.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
29.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
29.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
29.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
29.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
29.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
29.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
28.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
28.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
28.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
28.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
28.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
28.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
28.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
28.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
28.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
28.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
28.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
28.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
27.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
27.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
27.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
27.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
27.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
27.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
27.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
27.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
27.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
27.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
27.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
26.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
26.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
26.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
26.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
26.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
26.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
25.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
25.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
25.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
25.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
25.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
25.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
25.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
25.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
25.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
24.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
24.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
24.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
24.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
24.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
24.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
24.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
24.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
24.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
24.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
24.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
24.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
23.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
23.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
22.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
22.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
21.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
21.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
20.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
20.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
19.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
19.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
19.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
18.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
18.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
18.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
16.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
16.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
15.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
15.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
14.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.2
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.
RNF130 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
34.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
77.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
69.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
62.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
61.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
59.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
59.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
53.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
50.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
50.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
49.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
48.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
48.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
48.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
48.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
47.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
46.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
46.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
46.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
44.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
44.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
44.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
43.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
41.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
41.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
41.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
39.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
39.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
39.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
38.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
38.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
38.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
38.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
37.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
37.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
37.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
37.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
37.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
36.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
34.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
34.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
34.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
33.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
33.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
33.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
33.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
33.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
33.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
32.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
32.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
31.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
31.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
31.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
30.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
30.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
30.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
30.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
29.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
29.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
28.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
28.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
27.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
27.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
27.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
27.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
27.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
27.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
26.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
26.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
26.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
25.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
25.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
24.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
24.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
23.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
23.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
21.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
21.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
20.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
20.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
19.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
19.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
18.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
17.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
17.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
16.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
15.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.1
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.
RNF130 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
39.0
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
96.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
88.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
71.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
70.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
68.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
68.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
67.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
66.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
66.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
64.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
64.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
62.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
60.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
59.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
59.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
58.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
58.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
57.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
57.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
57.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
56.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
55.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
55.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
55.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
54.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
54.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
54.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
54.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
53.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
53.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
53.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
52.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
52.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
52.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
51.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
51.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
51.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
50.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
50.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
49.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
49.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
49.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
48.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
48.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
48.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
47.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
47.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
47.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
47.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
46.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
46.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
46.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
46.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
46.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
45.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
45.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
45.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
45.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
45.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
45.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
45.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
44.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
44.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
43.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
43.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
43.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
43.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
42.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
42.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
42.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
42.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
42.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
42.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
41.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
41.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
41.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
41.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
41.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
41.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
41.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
40.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
40.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
40.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
40.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
40.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
39.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
39.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
39.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
39.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
39.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
39.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
39.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
39.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
38.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
38.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
38.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
38.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
37.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
37.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
37.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
37.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
37.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
37.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
37.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
37.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
37.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
37.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
36.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
36.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
36.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
36.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
36.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
36.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
36.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
36.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
35.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
35.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
34.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
34.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
34.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
33.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
33.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
33.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
33.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
33.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
33.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
33.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
33.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
33.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
33.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
32.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
32.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
32.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
32.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
31.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
31.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
31.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
31.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
31.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
31.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
30.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
30.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
30.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
30.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
30.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
30.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
30.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
29.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
29.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
29.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
29.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
29.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
29.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
29.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
29.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
29.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
29.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
29.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
28.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
28.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
28.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
28.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
28.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
28.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
28.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
28.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
27.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
27.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
27.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
27.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
27.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
27.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
27.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
26.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
26.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
26.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
26.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
26.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
25.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
25.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
25.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
25.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
25.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
25.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
24.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
24.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
24.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
24.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
24.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
24.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
23.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
23.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
23.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
23.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
22.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
22.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
22.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
22.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
21.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
21.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
21.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
20.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
19.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
19.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
17.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
15.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.4
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_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.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
