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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.
RBM47 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
39.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
100.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
90.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
85.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
84.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
81.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
80.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
79.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
76.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
75.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
74.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
73.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
73.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
72.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
71.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
69.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
69.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
68.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
68.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
68.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
67.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
66.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
66.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
65.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
62.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
61.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
59.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
59.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
59.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
59.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
58.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
57.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
57.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
57.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
56.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
56.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
56.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
55.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
55.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
54.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
54.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
53.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
53.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
52.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
52.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
52.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
51.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
51.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
51.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
51.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
50.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
50.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
49.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
49.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
49.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
47.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
47.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
47.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
47.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
46.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
46.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
46.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
46.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
46.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
46.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
45.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
44.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
44.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
44.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
44.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
44.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
44.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
44.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
44.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
43.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
43.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
42.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
42.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
42.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
42.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
41.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
41.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
41.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
41.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
41.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
41.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
41.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
41.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
41.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
41.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
40.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
40.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
40.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
40.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
40.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
39.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
39.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
39.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
39.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
39.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
39.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
39.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
39.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
38.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
38.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
38.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
38.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
38.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
38.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
38.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
38.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
38.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
38.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
37.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
37.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
37.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
37.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
37.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
37.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
37.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
37.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
37.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
37.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
36.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
36.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
36.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
36.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
36.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
36.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
36.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
36.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
35.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
35.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
35.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
35.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
35.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
35.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
35.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
35.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
35.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
34.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
34.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
34.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
34.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
34.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
33.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
33.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
33.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
33.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
33.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
33.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
33.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
33.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
33.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
32.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
32.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
32.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
32.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
32.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
32.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
32.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
32.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
32.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
32.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
32.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
32.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
32.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
32.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
31.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
31.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
31.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
31.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
31.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
31.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
31.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
31.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
31.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
31.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
30.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
30.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
30.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
30.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
29.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
29.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
29.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
29.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
29.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
29.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
28.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
28.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
28.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
28.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
28.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
28.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
28.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
28.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
28.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
28.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
28.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
27.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
27.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
26.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
26.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
26.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
26.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
26.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
26.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
26.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
25.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
25.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
25.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
25.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
25.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
25.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
25.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
25.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
25.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
25.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
23.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
23.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
23.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
23.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
22.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
22.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
22.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
22.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
22.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
22.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
22.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
21.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
21.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
21.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
21.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
21.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
20.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
20.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
20.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
19.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
18.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
18.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
18.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
18.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
17.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
17.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
17.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
16.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
16.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
16.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
15.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
14.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
14.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
14.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
13.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
13.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 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.
RBM47 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
64.6
Number of samples
486
Samples
Sample
Description
TPM
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
155.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
155.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
129.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
127.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
127.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
125.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
122.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
121.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
113.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
113.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
111.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
110.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
110.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
110.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
108.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
107.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
107.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
106.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
105.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
105.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
104.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
104.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
103.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
102.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
102.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
102.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
102.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
102.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
101.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
100.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
100.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
100.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
99.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
99.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
99.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
98.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
98.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
98.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
97.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
97.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
97.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
97.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
96.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
96.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
95.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
95.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
95.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
95.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
94.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
94.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
94.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
93.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
92.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
92.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
92.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
92.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
92.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
91.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
91.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
91.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
90.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
90.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
89.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
89.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
89.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
88.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
88.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
88.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
88.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
87.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
87.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
87.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
87.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
87.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
86.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
86.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
86.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
85.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
85.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
85.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
84.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
84.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
84.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
84.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
83.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
83.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
83.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
83.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
82.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
82.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
82.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
82.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
82.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
82.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
81.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
81.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
81.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
81.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
80.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
80.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
80.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
80.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
80.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
80.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
79.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
79.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
79.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
79.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
79.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
79.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
79.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
79.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
78.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
78.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
78.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
78.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
78.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
78.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
77.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
77.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
77.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
77.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
77.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
77.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
77.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
77.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
76.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
76.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
76.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
76.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
76.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
75.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
75.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
75.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
75.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
74.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
74.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
74.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
74.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
74.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
74.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
74.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
73.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
73.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
73.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
73.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
73.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
73.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
73.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
72.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
72.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
72.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
72.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
72.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
71.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
71.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
71.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
71.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
71.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
70.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
70.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
70.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
70.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
70.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
70.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
70.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
70.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
70.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
69.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
69.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
69.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
69.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
69.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
68.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
68.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
68.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
68.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
68.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
68.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
68.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
68.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
68.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
68.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
68.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
67.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
67.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
67.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
67.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
67.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
67.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
67.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
67.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
67.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
66.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
66.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
66.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
66.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
66.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
66.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
66.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
65.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
65.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
65.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
65.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
65.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
65.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
65.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
65.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
65.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
65.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
65.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
65.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
65.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
65.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
65.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
64.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
64.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
64.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
64.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
64.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
64.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
64.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
64.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
63.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
63.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
63.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
63.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
63.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
63.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
63.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
63.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
63.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
63.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
63.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
63.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
63.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
63.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
62.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
62.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
62.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
62.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
62.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
62.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
62.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
62.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
62.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
62.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
61.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
61.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
61.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
61.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
61.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
60.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
60.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
60.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
60.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
60.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
60.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
60.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
60.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
60.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
60.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
59.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
59.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
59.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
59.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
59.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
59.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
59.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
59.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
58.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
58.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
58.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
58.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
58.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
58.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
58.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
58.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
57.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
57.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
57.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
57.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
57.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
57.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
57.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
57.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
57.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
57.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
56.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
56.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
56.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
56.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
56.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
56.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
55.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
55.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
55.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
55.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
55.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
55.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
55.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
54.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
54.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
54.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
54.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
54.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
54.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
54.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
54.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
54.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
54.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
53.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
53.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
53.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
53.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
53.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
52.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
52.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
52.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
52.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
52.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
52.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
52.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
52.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
52.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
52.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
52.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
52.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
52.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
52.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
52.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
51.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
51.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
51.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
51.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
51.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
51.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
51.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
51.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
51.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
51.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
51.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
51.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
51.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
51.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
51.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
51.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
50.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
50.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
50.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
50.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
50.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
50.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
50.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
50.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
50.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
49.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
49.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
49.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
49.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
49.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
49.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
49.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
49.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
49.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
49.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
49.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
49.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
49.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
49.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
48.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
48.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
48.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
48.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
48.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
48.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
48.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
48.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
48.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
48.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
48.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
48.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
48.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
47.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
47.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
47.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
47.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
47.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
47.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
47.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
47.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
47.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
46.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
46.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
46.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
46.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
46.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
46.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
46.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
46.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
45.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
45.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
45.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
45.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
45.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
45.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
44.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
44.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
44.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
44.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
44.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
44.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
44.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
44.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
43.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
43.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
43.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
43.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
43.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
43.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
43.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
43.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
43.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
42.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
42.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
42.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
42.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
42.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
41.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
41.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
41.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
41.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
41.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
41.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
41.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
40.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
39.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
39.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
39.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
39.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
39.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
39.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
38.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
38.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
38.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
38.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
38.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
38.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
38.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
38.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
38.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
38.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
37.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
37.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
37.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
36.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
36.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
36.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
36.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
36.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
36.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
36.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
36.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
35.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
35.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
35.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
35.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
35.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
34.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
34.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
33.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
33.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
32.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
32.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
31.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
31.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
30.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
29.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
27.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
26.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
24.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
23.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RBM47 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
34.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
88.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
68.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
65.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
65.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
64.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
63.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
59.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
58.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
56.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
51.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
47.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
47.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
47.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
46.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
46.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
45.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
44.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
44.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
43.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
43.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
43.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
40.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
40.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
40.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
39.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
39.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
38.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
38.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
38.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
37.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
37.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
37.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
37.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
37.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
36.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
36.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
36.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
36.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
34.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
34.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
34.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
34.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
33.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
33.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
32.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
32.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
32.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
32.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
31.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
31.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
31.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
30.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
29.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
29.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
29.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
28.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
28.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
28.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
28.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
28.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
27.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
27.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
27.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
27.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
26.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
26.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
25.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
25.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
25.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
25.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
25.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
24.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
24.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
23.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
23.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
22.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
22.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
20.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
19.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
19.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
19.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
17.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
16.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
14.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
14.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
12.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
9.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
RBM47 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
54.5
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
115.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
106.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
98.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
95.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
95.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
94.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
93.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
92.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
91.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
90.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
85.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
80.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
79.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
78.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
78.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
76.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
75.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
75.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
74.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
73.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
73.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
73.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
72.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
72.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
72.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
71.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
71.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
71.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
71.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
71.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
70.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
70.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
70.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
70.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
70.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
69.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
68.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
68.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
68.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
68.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
66.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
66.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
66.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
66.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
66.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
65.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
65.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
65.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
65.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
65.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
64.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
64.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
64.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
64.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
64.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
64.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
63.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
63.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
63.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
63.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
63.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
63.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
62.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
61.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
61.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
61.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
61.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
60.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
60.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
60.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
59.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
59.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
59.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
59.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
59.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
58.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
58.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
58.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
58.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
58.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
58.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
57.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
57.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
57.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
57.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
56.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
56.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
56.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
55.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
55.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
55.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
55.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
55.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
55.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
54.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
54.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
54.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
54.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
53.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
53.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
53.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
53.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
53.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
53.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
53.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
53.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
53.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
52.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
52.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
52.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
52.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
51.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
51.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
51.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
51.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
51.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
51.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
51.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
51.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
51.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
50.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
50.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
50.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
50.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
50.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
50.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
49.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
49.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
49.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
49.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
49.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
48.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
48.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
48.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
47.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
47.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
47.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
47.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
47.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
47.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
46.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
46.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
46.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
46.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
46.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
45.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
45.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
45.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
45.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
45.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
45.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
45.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
44.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
44.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
44.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
43.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
43.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
43.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
43.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
42.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
42.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
42.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
42.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
41.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
40.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
40.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
40.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
40.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
40.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
40.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
38.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
38.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
38.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
38.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
38.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
37.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
36.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
35.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
35.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
35.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
34.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
34.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
34.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
34.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
33.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
33.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
33.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
33.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
32.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
31.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
30.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
30.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
29.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
29.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
29.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
28.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
28.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
27.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
27.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
26.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
26.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
26.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
25.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
22.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
17.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
15.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.7
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.6
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.8
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.0
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
