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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.
RBM26 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
19.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
45.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
43.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
43.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
43.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
40.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
39.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
38.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
37.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
36.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
36.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
36.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
35.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
35.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
33.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
33.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
32.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
32.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
31.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
30.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
30.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
30.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
30.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
30.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
29.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
29.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
28.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
28.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
28.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
28.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
28.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
27.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
27.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
27.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
27.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
26.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
26.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
26.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
26.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
26.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
26.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
26.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
26.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
26.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
26.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
26.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
25.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
25.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
24.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
24.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
24.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
24.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
24.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
24.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
24.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
24.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
24.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
23.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
23.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
23.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
23.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
23.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
23.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
22.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
22.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
22.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
22.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
22.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
22.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
22.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
22.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
22.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
22.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
22.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
21.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
21.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
21.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
21.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
21.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
21.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
21.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
21.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
21.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
20.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
20.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
20.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
20.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
20.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
20.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
20.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
20.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
20.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
20.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
20.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
19.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
19.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
19.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
19.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
19.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
19.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
19.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
19.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
19.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
19.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
19.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
19.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
19.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
19.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
19.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
19.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
18.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
18.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
18.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
18.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
18.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
18.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
18.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
18.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
18.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
18.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
18.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
18.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
18.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
18.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
18.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
18.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
18.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
18.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
18.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
18.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
18.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
17.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
17.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
17.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
17.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
17.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
17.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
17.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
17.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
17.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
17.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
17.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
17.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
17.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
17.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
17.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
17.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
17.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
17.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
17.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
16.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
16.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
16.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
16.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
16.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
16.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
16.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
16.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
16.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
16.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
16.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
16.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
15.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
15.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
15.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
15.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
15.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
15.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
15.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
15.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
15.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
15.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
15.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
15.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
15.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
15.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
15.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
15.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
15.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
15.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
14.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
14.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
14.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
14.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
14.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
14.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
14.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
14.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
14.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
14.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
14.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
14.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
14.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
14.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
14.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
13.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
13.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
13.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
13.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
13.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
13.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
13.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
13.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
13.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
12.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
12.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
12.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
12.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
12.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
12.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
12.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
12.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
12.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
12.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
12.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
12.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
12.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
12.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
12.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
12.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
11.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
11.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
11.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
11.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
11.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
11.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
11.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
11.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
11.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
11.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
10.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
10.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
10.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
10.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
10.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
10.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
10.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
10.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
9.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
9.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
9.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
9.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
9.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
8.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
8.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
8.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
8.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
8.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
7.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
7.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
7.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
7.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
5.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
5.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 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.
RBM26 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
41.2
Number of samples
486
Samples
Sample
Description
TPM
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
116.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
113.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
109.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
103.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
98.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
95.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
87.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
86.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
85.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
85.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
84.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
84.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
82.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
79.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
79.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
78.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
78.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
77.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
77.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
76.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
76.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
76.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
73.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
71.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
71.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
71.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
70.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
70.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
69.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
69.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
68.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
67.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
65.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
65.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
64.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
64.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
64.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
62.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
62.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
62.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
60.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
60.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
60.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
60.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
60.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
59.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
59.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
59.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
58.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
58.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
58.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
57.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
57.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
57.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
57.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
57.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
57.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
57.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
57.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
56.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
56.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
56.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
56.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
55.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
55.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
55.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
55.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
55.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
54.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
54.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
54.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
54.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
53.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
53.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
53.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
53.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
52.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
52.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
52.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
52.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
52.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
52.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
52.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
52.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
52.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
51.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
51.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
51.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
51.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
51.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
51.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
50.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
50.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
50.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
50.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
49.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
49.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
49.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
49.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
49.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
49.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
49.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
48.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
48.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
48.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
48.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
48.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
48.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
48.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
48.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
47.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
47.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
47.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
47.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
47.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
47.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
47.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
47.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
47.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
47.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
47.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
46.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
46.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
46.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
46.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
46.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
46.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
45.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
45.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
45.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
45.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
45.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
45.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
45.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
45.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
45.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
45.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
45.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
45.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
45.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
44.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
44.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
44.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
44.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
44.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
44.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
44.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
44.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
44.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
44.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
44.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
43.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
43.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
43.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
43.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
43.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
43.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
43.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
43.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
43.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
43.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
43.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
43.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
43.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
42.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
42.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
42.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
42.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
42.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
42.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
42.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
42.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
42.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
42.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
42.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
42.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
42.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
42.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
42.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
41.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
41.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
41.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
41.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
41.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
41.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
41.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
41.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
41.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
41.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
41.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
41.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
41.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
41.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
41.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
41.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
41.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
41.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
41.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
41.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
41.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
41.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
40.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
40.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
40.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
40.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
40.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
40.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
40.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
40.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
40.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
39.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
39.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
39.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
39.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
39.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
39.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
39.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
39.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
39.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
39.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
39.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
39.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
39.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
39.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
39.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
39.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
39.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
39.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
39.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
39.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
39.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
38.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
38.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
38.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
38.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
38.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
38.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
38.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
38.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
38.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
38.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
38.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
38.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
38.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
38.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
38.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
38.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
38.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
38.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
37.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
37.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
37.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
37.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
37.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
37.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
37.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
37.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
37.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
37.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
37.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
36.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
36.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
36.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
36.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
36.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
36.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
36.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
36.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
36.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
36.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
36.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
36.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
36.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
36.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
36.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
36.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
36.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
35.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
35.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
35.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
35.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
35.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
35.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
35.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
35.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
35.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
35.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
35.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
35.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
35.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
35.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
35.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
35.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
35.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
34.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
34.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
34.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
34.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
34.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
34.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
34.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
34.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
34.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
34.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
34.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
34.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
34.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
34.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
34.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
34.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
34.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
34.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
34.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
34.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
33.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
33.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
33.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
33.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
33.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
33.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
33.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
33.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
33.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
33.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
33.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
33.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
33.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
33.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
33.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
33.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
33.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
33.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
33.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
33.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
32.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
32.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
32.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
32.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
32.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
32.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
32.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
32.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
32.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
32.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
32.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
32.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
32.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
32.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
32.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
32.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
32.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
31.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
31.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
31.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
31.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
31.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
31.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
31.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
31.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
31.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
31.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
31.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
31.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
31.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
31.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
31.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
31.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
31.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
30.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
30.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
30.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
30.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
30.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
30.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
30.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
30.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
30.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
30.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
30.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
30.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
30.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
30.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
30.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
30.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
30.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
29.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
29.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
29.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
29.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
29.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
29.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
29.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
29.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
29.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
29.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
29.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
29.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
29.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
29.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
29.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
29.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
29.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
29.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
28.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
28.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
28.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
28.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
28.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
28.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
28.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
28.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
28.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
28.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
28.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
28.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
28.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
28.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
28.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
28.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
28.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
28.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
27.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
27.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
27.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
27.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
27.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
27.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
27.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
27.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
27.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
27.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
27.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
27.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
27.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
27.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
26.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
26.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
26.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
26.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
26.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
26.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
26.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
26.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
26.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
26.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
26.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
26.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
25.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
25.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
25.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
25.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
25.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
25.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
25.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
25.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
25.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
25.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
25.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
24.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
24.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
24.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
24.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
24.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
24.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
24.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
24.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
23.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
23.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
22.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
22.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
22.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
22.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
22.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
22.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
21.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
21.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
20.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
19.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
16.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RBM26 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
21.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
46.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
41.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
40.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
37.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
35.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
35.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
34.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
34.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
32.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
32.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
30.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
30.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
29.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
28.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
28.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
27.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
27.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
27.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
26.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
25.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
25.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
25.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
24.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
24.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
24.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
24.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
24.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
24.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
24.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
23.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
23.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
23.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
23.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
22.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
22.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
22.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
22.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
22.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
21.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
21.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
21.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
21.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
21.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
20.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
20.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
20.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
20.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
20.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
19.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
19.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
19.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
19.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
19.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
19.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
19.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
19.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
18.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
18.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
18.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
18.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
18.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
18.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
17.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
17.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
17.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
17.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
17.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
16.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
16.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
16.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
16.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
15.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
15.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
14.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
14.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
14.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
13.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
12.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
12.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
12.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
11.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
11.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
10.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
10.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
10.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
9.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
8.0
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.
RBM26 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
47.6
Number of samples
207
Samples
Sample
Description
TPM
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
131.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
127.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
112.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
99.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
90.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
88.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
87.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
85.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
83.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
79.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
78.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
73.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
72.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
72.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
71.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
71.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
70.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
69.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
68.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
68.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
68.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
68.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
66.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
66.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
65.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
65.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
63.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
63.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
63.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
63.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
62.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
62.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
62.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
61.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
61.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
61.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
60.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
60.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
59.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
58.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
58.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
58.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
58.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
58.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
58.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
57.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
57.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
57.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
57.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
57.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
56.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
55.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
55.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
55.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
54.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
54.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
54.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
54.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
54.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
54.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
53.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
53.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
53.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
52.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
51.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
51.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
50.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
50.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
50.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
50.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
50.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
50.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
49.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
49.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
49.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
48.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
48.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
48.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
47.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
47.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
47.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
47.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
47.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
47.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
46.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
46.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
46.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
46.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
46.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
46.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
46.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
46.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
45.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
45.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
45.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
45.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
45.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
45.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
44.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
44.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
44.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
44.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
44.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
44.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
44.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
43.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
43.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
43.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
43.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
43.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
43.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
42.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
42.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
42.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
42.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
42.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
42.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
41.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
41.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
41.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
41.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
41.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
40.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
40.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
40.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
40.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
40.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
40.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
40.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
40.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
40.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
40.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
39.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
39.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
39.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
39.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
39.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
39.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
38.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
38.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
38.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
38.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
38.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
38.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
38.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
38.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
37.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
37.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
37.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
37.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
37.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
37.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
36.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
36.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
36.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
36.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
36.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
36.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
36.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
36.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
36.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
35.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
35.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
35.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
35.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
35.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
35.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
34.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
34.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
34.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
34.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
34.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
33.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
32.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
32.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
32.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
32.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
32.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
31.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
31.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
31.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
31.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
30.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
30.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
30.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
29.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
29.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
29.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
29.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
28.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
28.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
28.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
27.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
27.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
27.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
26.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
26.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
26.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
25.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
24.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
23.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
22.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
19.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
17.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
1.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.7
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
