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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RBM25 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
18.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
39.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
36.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
33.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
33.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
32.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
32.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
32.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
31.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
31.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
30.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
30.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
30.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
30.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
29.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
29.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
29.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
29.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
29.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
29.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
29.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
28.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
28.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
28.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
28.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
28.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
28.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
27.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
27.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
27.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
27.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
27.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
27.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
26.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
26.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
26.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
26.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
26.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
26.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
26.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
25.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
25.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
25.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
25.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
25.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
25.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
24.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
24.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
24.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
23.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
23.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
23.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
23.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
23.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
23.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
23.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
22.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
22.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
22.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
22.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
22.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
21.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
21.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
21.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
21.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
21.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
21.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
21.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
21.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
21.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
21.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
21.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
21.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
21.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
20.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
20.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
20.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
20.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
20.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
20.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
20.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
20.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
20.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
20.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
20.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
20.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
20.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
20.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
20.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
20.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
19.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
19.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
19.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
19.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
19.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
19.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
19.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
19.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
19.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
19.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
19.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
18.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
18.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
18.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
18.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
18.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
18.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
18.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
18.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
18.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
18.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
18.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
18.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
18.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
18.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
18.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
17.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
17.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
17.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
17.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
17.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
17.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
17.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
17.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
17.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
17.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
17.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
17.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
17.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
17.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
17.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
17.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
17.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
17.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
17.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
16.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
16.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
16.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
16.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
16.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
16.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
16.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
16.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
16.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
16.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
16.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
16.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
16.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
15.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
15.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
15.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
15.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
15.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
15.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
15.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
15.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
15.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
15.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
15.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
15.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
15.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
15.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
15.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
15.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
15.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
15.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
15.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
15.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
15.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
15.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
14.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
14.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
14.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
14.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
14.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
14.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
14.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
14.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
14.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
14.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
14.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
14.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
13.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
13.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
13.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
13.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
13.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
13.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
13.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
13.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
13.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
13.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
13.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
13.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
13.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
13.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
13.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
13.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
12.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
12.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
12.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
12.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
12.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
12.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
12.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
12.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
12.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
12.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
12.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
12.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
12.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
12.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
11.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
11.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
11.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
11.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
11.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
11.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
10.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
10.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
10.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
10.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
10.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
10.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
10.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
10.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
10.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
10.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
10.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
10.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
10.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
9.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
9.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
9.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
9.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
9.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
9.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
9.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
8.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
8.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
8.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
8.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
8.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
8.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
8.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
8.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
7.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
7.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
7.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
7.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
6.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
6.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
5.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
5.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 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.
RBM25 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
40.0
Number of samples
486
Samples
Sample
Description
TPM
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
64.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
63.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
63.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
62.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
62.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
62.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
61.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
60.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
60.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
60.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
59.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
58.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
58.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
58.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
57.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
56.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
55.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
55.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
55.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
55.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
55.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
54.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
54.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
54.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
53.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
53.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
53.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
53.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
53.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
53.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
53.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
52.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
52.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
52.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
52.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
52.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
52.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
52.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
51.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
51.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
51.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
51.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
51.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
51.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
50.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
50.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
50.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
50.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
50.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
50.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
50.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
50.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
50.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
50.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
50.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
50.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
50.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
49.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
49.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
49.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
49.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
49.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
49.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
49.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
49.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
49.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
49.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
49.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
49.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
49.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
49.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
49.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
49.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
48.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
48.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
48.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
48.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
48.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
48.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
48.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
48.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
48.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
48.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
48.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
48.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
48.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
48.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
47.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
47.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
47.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
47.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
47.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
47.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
47.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
47.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
47.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
47.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
47.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
47.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
47.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
47.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
46.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
46.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
46.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
46.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
46.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
46.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
46.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
46.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
46.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
46.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
46.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
46.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
46.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
45.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
45.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
45.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
45.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
45.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
45.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
45.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
45.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
45.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
45.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
45.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
45.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
45.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
45.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
44.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
44.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
44.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
44.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
44.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
44.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
44.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
44.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
44.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
44.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
44.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
44.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
44.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
44.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
44.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
44.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
44.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
44.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
44.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
44.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
44.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
44.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
44.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
44.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
44.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
43.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
43.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
43.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
43.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
43.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
43.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
43.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
43.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
43.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
43.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
43.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
43.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
43.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
43.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
43.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
43.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
43.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
43.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
43.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
43.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
43.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
43.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
42.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
42.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
42.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
42.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
42.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
42.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
42.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
42.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
42.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
42.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
42.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
42.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
42.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
42.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
42.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
42.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
42.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
42.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
41.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
41.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
41.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
41.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
41.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
41.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
41.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
41.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
41.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
41.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
41.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
41.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
41.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
41.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
41.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
41.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
41.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
41.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
41.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
41.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
41.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
41.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
41.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
41.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
41.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
40.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
40.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
40.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
40.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
40.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
40.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
40.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
40.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
40.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
40.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
40.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
40.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
40.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
40.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
40.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
40.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
40.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
40.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
40.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
40.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
40.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
40.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
39.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
39.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
39.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
39.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
39.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
39.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
39.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
39.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
39.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
39.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
39.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
39.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
39.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
39.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
39.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
39.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
38.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
38.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
38.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
38.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
38.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
38.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
38.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
38.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
38.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
38.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
38.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
38.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
38.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
38.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
38.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
38.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
38.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
38.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
38.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
38.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
38.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
38.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
38.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
38.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
37.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
37.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
37.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
37.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
37.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
37.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
37.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
37.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
37.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
37.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
37.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
37.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
37.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
37.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
37.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
37.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
36.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
36.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
36.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
36.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
36.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
36.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
36.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
36.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
36.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
36.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
36.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
36.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
36.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
36.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
36.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
36.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
36.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
36.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
36.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
36.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
35.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
35.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
35.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
35.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
35.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
35.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
35.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
35.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
35.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
35.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
35.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
35.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
35.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
35.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
35.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
35.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
35.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
35.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
35.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
35.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
35.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
35.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
34.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
34.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
34.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
34.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
34.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
34.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
34.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
34.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
34.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
34.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
34.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
34.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
34.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
34.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
34.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
34.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
34.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
34.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
34.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
34.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
34.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
34.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
34.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
33.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
33.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
33.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
33.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
33.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
33.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
33.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
33.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
33.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
33.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
33.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
33.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
33.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
33.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
33.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
33.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
33.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
33.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
33.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
33.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
33.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
33.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
32.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
32.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
32.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
32.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
32.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
32.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
32.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
32.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
32.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
32.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
32.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
32.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
32.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
32.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
32.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
32.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
32.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
32.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
31.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
31.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
31.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
31.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
31.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
31.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
31.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
31.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
31.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
31.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
31.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
31.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
31.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
31.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
31.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
31.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
31.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
31.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
30.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
30.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
30.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
30.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
30.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
30.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
30.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
30.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
30.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
30.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
30.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
30.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
30.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
30.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
30.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
30.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
30.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
30.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
30.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
30.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
29.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
29.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
29.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
29.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
29.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
29.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
29.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
29.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
29.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
29.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
29.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
29.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
28.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
28.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
28.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
28.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
28.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
28.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
27.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
27.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
27.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
27.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
27.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
27.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
26.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
26.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
26.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
25.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
25.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
24.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
24.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
24.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
24.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
24.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
24.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
21.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
21.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
20.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.9
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.
RBM25 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
17.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
39.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
36.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
36.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
35.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
32.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
31.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
29.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
28.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
28.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
27.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
26.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
26.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
25.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
24.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
24.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
23.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
23.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
23.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
23.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
22.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
21.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
21.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
21.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
21.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
21.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
21.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
21.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
20.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
20.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
20.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
20.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
19.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
19.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
19.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
19.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
19.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
19.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
18.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
18.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
17.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
17.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
17.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
17.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
16.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
16.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
16.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
16.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
16.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
16.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
15.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
15.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
15.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
15.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
15.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
14.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
14.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
14.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
14.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
14.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
14.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
14.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
14.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
13.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
13.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
13.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
13.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
13.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
12.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
12.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
12.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
11.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
11.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
11.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
11.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
10.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
10.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
10.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
10.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
9.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
8.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
7.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
6.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
6.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
6.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
5.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
4.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RBM25 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
38.6
Number of samples
207
Samples
Sample
Description
TPM
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
63.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
63.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
59.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
56.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
56.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
56.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
54.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
54.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
54.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
53.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
52.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
52.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
52.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
51.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
51.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
51.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
51.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
50.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
50.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
49.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
49.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
49.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
49.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
48.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
48.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
48.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
48.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
47.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
47.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
46.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
46.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
46.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
46.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
46.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
46.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
46.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
46.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
46.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
46.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
46.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
46.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
45.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
45.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
45.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
45.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
44.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
44.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
44.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
44.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
44.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
44.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
43.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
43.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
43.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
43.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
43.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
43.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
43.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
43.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
42.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
42.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
42.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
42.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
42.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
42.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
42.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
42.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
42.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
41.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
41.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
41.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
41.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
41.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
41.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
40.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
40.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
40.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
40.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
40.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
40.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
40.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
40.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
40.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
40.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
40.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
40.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
40.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
39.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
39.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
39.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
39.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
39.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
38.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
38.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
38.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
38.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
38.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
38.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
38.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
38.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
37.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
37.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
37.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
37.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
37.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
37.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
37.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
37.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
37.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
37.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
37.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
37.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
36.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
36.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
36.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
36.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
36.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
36.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
36.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
36.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
36.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
36.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
36.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
36.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
36.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
36.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
35.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
35.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
35.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
35.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
35.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
35.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
35.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
34.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
34.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
34.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
34.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
34.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
34.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
34.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
34.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
34.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
33.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
33.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
33.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
33.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
33.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
33.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
33.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
33.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
33.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
33.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
33.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
33.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
33.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
33.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
33.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
33.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
33.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
33.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
33.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
32.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
32.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
32.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
32.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
32.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
32.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
32.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
32.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
31.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
31.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
31.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
31.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
31.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
31.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
31.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
31.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
31.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
30.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
30.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
30.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
29.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
29.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
29.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
29.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
29.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
29.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
28.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
28.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
27.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
27.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
27.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
26.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
25.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
25.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
25.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
25.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
24.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
23.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
22.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
22.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
22.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
22.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
19.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
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Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
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Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
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Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.9
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
