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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.
RBM33 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
12.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
40.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
28.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
25.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
25.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
24.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
23.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
23.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
22.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
22.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
21.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
21.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
21.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
21.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
20.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
20.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
20.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
19.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
19.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
19.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
18.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
18.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
18.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
18.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
17.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
17.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
17.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
17.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
17.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
17.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
17.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
16.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
16.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
16.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
16.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
16.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
16.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
16.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
16.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
16.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
16.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
16.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
16.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
16.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
16.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
16.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
15.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
15.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
15.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
15.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
15.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
15.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
15.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
15.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
15.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
15.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
15.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
15.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
15.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
15.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
15.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
15.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
15.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
15.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
15.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
15.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
15.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
15.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
15.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
14.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
14.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
14.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
14.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
14.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
14.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
14.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
14.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
14.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
14.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
14.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
14.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
14.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
14.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
14.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
14.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
14.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
14.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
14.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
13.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
13.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
13.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
13.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
13.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
13.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
13.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
13.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
13.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
13.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
13.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
13.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
13.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
13.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
13.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
13.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
13.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
13.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
12.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
12.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
12.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
12.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
12.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
12.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
12.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
12.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
12.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
12.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
12.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
12.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
12.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
12.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
12.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
12.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
12.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
12.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
12.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
12.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
12.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
12.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
12.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
12.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
12.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
12.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
12.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
12.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
12.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
12.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
12.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
11.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
11.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
11.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
11.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
11.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
11.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
11.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
11.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
11.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
11.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
11.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
11.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
11.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
11.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
11.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
11.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
11.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
11.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
11.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
11.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
11.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
11.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
11.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
10.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
10.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
10.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
10.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
10.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
10.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
10.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
10.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
10.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
10.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
10.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
10.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
10.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
10.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
10.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
10.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
10.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
10.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
10.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
10.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
10.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
10.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
9.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
9.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
9.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
9.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
9.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
9.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
9.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
9.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
9.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
9.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
9.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
9.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
9.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
9.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
9.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
9.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
9.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
9.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
9.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
9.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
9.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
9.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
9.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
9.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
9.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
9.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
9.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
9.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
9.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
9.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
9.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
8.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
8.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
8.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
8.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
8.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
8.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
8.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
8.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
8.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
8.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
8.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
8.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
8.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
8.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
8.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
7.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
7.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
7.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
7.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
7.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
7.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
7.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
7.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
7.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
7.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
7.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
7.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
7.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
7.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
6.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
6.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
6.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
6.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
6.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
6.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
6.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
6.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
6.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
6.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 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.
RBM33 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
53.5
Number of samples
486
Samples
Sample
Description
TPM
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
100.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
97.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
88.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
83.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
82.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
80.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
80.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
79.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
79.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
78.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
78.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
76.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
76.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
76.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
76.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
76.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
75.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
75.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
75.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
75.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
74.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
74.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
74.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
74.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
73.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
73.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
72.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
72.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
72.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
72.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
71.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
71.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
71.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
71.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
71.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
70.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
70.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
70.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
70.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
70.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
70.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
70.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
69.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
69.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
69.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
68.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
68.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
68.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
68.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
68.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
67.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
67.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
67.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
67.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
67.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
67.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
66.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
66.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
66.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
66.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
66.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
66.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
66.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
66.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
66.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
65.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
65.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
65.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
65.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
65.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
65.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
65.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
65.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
65.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
65.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
64.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
64.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
64.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
64.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
64.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
64.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
64.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
63.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
63.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
63.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
63.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
63.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
62.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
62.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
62.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
62.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
62.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
62.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
62.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
62.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
62.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
62.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
62.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
62.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
61.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
61.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
61.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
61.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
61.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
61.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
61.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
61.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
61.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
61.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
60.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
60.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
60.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
60.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
60.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
60.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
60.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
60.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
60.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
60.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
60.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
60.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
60.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
60.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
59.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
59.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
59.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
59.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
59.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
59.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
59.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
59.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
59.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
59.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
59.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
58.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
58.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
58.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
58.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
58.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
58.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
58.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
58.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
58.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
58.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
58.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
58.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
58.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
58.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
58.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
57.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
57.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
57.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
57.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
57.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
57.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
57.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
57.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
57.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
57.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
57.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
57.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
57.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
57.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
57.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
56.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
56.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
56.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
56.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
56.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
56.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
56.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
56.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
56.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
56.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
55.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
55.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
55.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
55.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
55.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
55.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
55.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
55.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
55.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
55.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
55.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
55.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
55.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
55.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
55.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
55.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
55.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
55.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
55.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
55.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
55.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
54.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
54.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
54.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
54.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
54.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
54.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
54.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
54.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
54.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
54.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
54.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
54.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
54.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
53.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
53.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
53.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
53.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
53.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
53.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
53.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
53.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
53.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
53.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
53.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
53.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
53.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
53.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
53.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
53.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
53.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
53.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
53.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
53.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
53.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
52.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
52.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
52.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
52.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
52.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
52.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
52.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
52.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
52.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
52.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
52.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
52.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
52.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
52.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
52.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
52.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
52.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
52.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
52.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
52.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
52.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
51.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
51.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
51.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
51.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
51.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
51.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
51.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
51.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
51.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
51.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
51.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
51.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
51.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
51.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
50.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
50.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
50.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
50.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
50.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
50.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
50.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
50.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
50.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
50.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
50.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
50.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
50.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
50.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
50.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
50.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
50.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
50.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
50.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
50.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
50.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
50.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
50.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
49.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
49.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
49.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
49.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
49.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
49.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
49.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
49.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
49.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
49.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
49.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
49.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
49.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
49.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
49.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
49.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
49.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
49.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
49.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
49.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
49.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
49.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
49.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
49.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
48.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
48.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
48.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
48.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
48.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
48.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
48.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
48.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
48.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
48.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
47.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
47.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
47.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
47.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
47.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
47.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
47.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
47.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
47.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
47.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
47.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
47.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
47.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
47.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
47.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
47.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
47.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
46.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
46.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
46.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
46.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
46.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
46.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
46.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
46.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
46.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
46.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
46.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
46.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
46.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
46.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
46.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
46.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
46.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
46.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
46.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
46.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
46.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
45.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
45.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
45.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
45.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
45.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
45.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
45.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
45.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
45.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
45.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
45.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
45.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
45.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
45.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
45.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
45.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
45.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
45.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
45.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
45.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
45.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
45.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
44.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
44.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
44.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
44.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
44.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
44.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
44.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
44.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
44.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
44.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
44.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
44.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
44.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
44.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
44.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
44.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
44.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
44.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
44.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
44.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
44.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
43.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
43.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
43.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
43.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
43.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
43.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
43.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
43.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
43.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
43.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
43.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
43.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
43.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
43.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
43.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
43.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
42.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
42.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
42.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
42.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
42.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
42.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
42.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
42.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
42.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
42.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
42.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
42.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
42.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
42.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
42.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
41.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
41.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
41.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
41.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
41.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
41.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
41.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
41.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
41.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
40.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
40.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
40.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
40.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
40.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
40.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
40.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
40.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
40.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
40.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
40.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
39.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
39.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
38.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
38.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
38.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
38.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
38.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
38.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
38.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
38.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
38.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
38.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
37.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
37.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
37.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
37.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
36.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
36.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
36.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
36.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
35.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
33.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
33.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
33.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
32.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
32.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
32.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
29.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
29.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RBM33 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
12.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
26.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
24.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
23.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
19.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
18.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
18.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
18.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
17.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
17.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
17.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
16.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
16.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
16.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
16.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
16.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
16.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
15.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
15.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
14.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
14.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
14.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
14.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
14.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
14.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
14.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
14.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
14.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
14.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
13.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
13.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
13.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
13.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
13.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
13.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
13.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
13.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
13.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
13.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
12.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
12.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
12.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
12.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
12.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
12.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
12.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
11.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
11.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
11.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
11.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
11.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
11.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
11.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
11.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
11.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
10.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
10.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
10.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
10.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
10.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
10.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
10.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
10.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
10.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
10.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
10.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
10.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
10.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
9.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
9.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
9.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
9.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
9.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
9.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
9.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
9.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
9.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
9.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
8.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
8.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
8.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
8.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
8.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
6.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
6.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
6.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
6.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
4.9
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.
RBM33 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
53.9
Number of samples
207
Samples
Sample
Description
TPM
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
107.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
93.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
83.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
78.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
78.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
78.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
77.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
74.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
73.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
73.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
72.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
72.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
71.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
69.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
68.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
67.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
67.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
66.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
66.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
66.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
65.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
65.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
64.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
64.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
64.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
64.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
64.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
63.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
63.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
63.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
63.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
62.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
62.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
62.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
62.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
62.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
61.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
61.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
61.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
61.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
61.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
61.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
61.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
61.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
61.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
60.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
60.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
60.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
60.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
59.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
59.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
59.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
59.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
59.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
58.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
58.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
58.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
58.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
58.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
57.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
57.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
57.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
57.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
57.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
57.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
57.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
57.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
57.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
56.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
56.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
56.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
56.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
56.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
56.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
56.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
55.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
55.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
55.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
55.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
55.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
55.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
55.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
54.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
54.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
54.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
54.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
54.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
54.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
54.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
54.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
53.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
53.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
53.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
53.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
53.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
53.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
53.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
53.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
53.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
53.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
53.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
53.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
53.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
53.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
53.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
53.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
52.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
52.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
52.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
52.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
52.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
52.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
52.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
52.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
52.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
51.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
51.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
51.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
51.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
51.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
51.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
51.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
51.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
51.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
50.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
50.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
50.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
50.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
50.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
50.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
50.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
50.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
50.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
50.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
49.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
49.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
49.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
49.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
49.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
49.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
49.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
49.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
48.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
48.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
48.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
48.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
48.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
48.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
48.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
48.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
48.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
48.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
47.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
47.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
47.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
47.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
47.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
46.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
46.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
46.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
46.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
46.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
46.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
46.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
46.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
46.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
45.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
45.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
45.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
45.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
45.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
45.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
45.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
44.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
43.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
43.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
43.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
43.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
43.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
43.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
43.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
43.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
43.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
42.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
42.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
42.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
42.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
41.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
41.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
41.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
41.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
40.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
40.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
40.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
40.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
39.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
39.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
38.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
38.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
37.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
36.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
35.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
34.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
34.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
32.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
29.6
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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
1.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.8
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.8
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
