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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.
RANBP2 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
15.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
111.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
94.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
76.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
61.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
51.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
40.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
38.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
36.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
36.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
31.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
30.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
30.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
29.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
29.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
27.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
25.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
25.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
25.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
24.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
23.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
23.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
23.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
21.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
21.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
21.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
21.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
21.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
21.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
21.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
21.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
20.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
20.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
20.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
20.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
19.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
19.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
19.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
19.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
19.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
19.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
19.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
18.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
18.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
18.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
18.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
18.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
18.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
18.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
17.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
17.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
17.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
17.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
17.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
17.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
17.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
17.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
17.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
17.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
16.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
16.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
16.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
16.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
16.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
16.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
16.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
16.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
16.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
16.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
16.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
16.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
16.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
15.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
15.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
15.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
15.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
15.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
15.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
15.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
15.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
15.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
15.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
15.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
15.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
15.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
15.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
15.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
15.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
14.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
14.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
14.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
14.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
14.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
14.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
14.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
14.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
14.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
14.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
14.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
14.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
14.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
14.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
14.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
14.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
14.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
14.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
14.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
14.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
14.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
14.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
14.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
14.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
13.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
13.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
13.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
13.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
13.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
13.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
13.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
13.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
13.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
13.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
13.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
13.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
13.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
13.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
13.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
13.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
13.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
13.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
13.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
13.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
13.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
12.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
12.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
12.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
12.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
12.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
12.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
12.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
12.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
12.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
12.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
12.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
12.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
12.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
12.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
12.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
12.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
12.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
12.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
12.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
12.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
12.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
12.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
12.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
12.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
11.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
11.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
11.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
11.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
11.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
11.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
11.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
11.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
11.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
11.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
11.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
11.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
11.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
11.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
11.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
11.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
11.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
11.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
11.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
11.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
11.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
11.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
11.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
11.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
11.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
11.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
11.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
10.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
10.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
10.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
10.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
10.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
10.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
10.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
10.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
10.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
10.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
10.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
10.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
10.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
10.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
10.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
10.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
10.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
10.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
10.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
10.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
10.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
9.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
9.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
9.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
9.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
9.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
9.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
9.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
8.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
8.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
8.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
8.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
8.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
8.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
8.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
8.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
8.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
8.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
8.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
8.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
8.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
8.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
8.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
8.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
8.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
8.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
8.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
7.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
7.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
7.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
7.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
7.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
7.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
7.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
7.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
7.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
7.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
7.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
7.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
6.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
6.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
6.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
6.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
5.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
5.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
5.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
5.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
5.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
4.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
RANBP2 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
52.6
Number of samples
486
Samples
Sample
Description
TPM
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
191.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
187.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
177.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
158.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
150.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
149.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
143.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
136.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
134.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
132.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
131.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
129.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
127.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
114.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
110.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
109.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
102.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
100.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
98.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
98.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
97.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
93.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
92.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
92.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
91.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
90.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
90.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
90.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
89.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
87.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
86.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
86.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
84.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
84.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
83.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
82.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
82.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
80.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
80.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
79.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
78.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
78.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
76.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
76.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
76.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
75.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
75.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
74.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
74.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
72.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
72.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
71.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
71.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
71.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
71.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
70.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
70.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
70.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
70.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
70.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
69.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
69.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
69.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
69.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
69.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
68.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
68.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
68.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
67.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
67.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
67.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
67.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
67.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
67.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
65.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
65.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
65.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
65.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
65.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
64.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
64.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
64.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
64.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
63.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
63.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
63.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
63.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
63.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
63.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
63.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
62.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
62.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
62.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
62.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
62.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
61.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
61.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
61.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
61.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
61.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
60.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
60.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
60.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
60.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
60.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
60.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
60.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
60.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
59.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
59.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
59.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
59.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
59.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
59.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
59.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
59.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
59.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
59.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
58.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
58.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
58.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
58.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
58.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
58.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
58.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
58.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
58.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
58.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
57.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
57.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
57.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
57.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
56.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
56.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
56.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
56.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
56.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
56.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
55.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
55.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
55.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
55.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
55.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
55.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
55.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
55.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
55.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
55.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
54.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
54.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
54.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
54.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
54.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
54.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
54.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
54.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
54.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
54.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
54.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
53.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
53.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
53.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
53.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
53.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
53.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
53.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
53.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
53.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
53.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
53.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
52.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
52.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
52.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
52.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
52.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
52.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
52.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
52.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
52.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
52.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
52.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
51.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
51.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
51.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
51.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
51.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
51.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
51.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
51.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
51.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
51.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
51.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
51.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
51.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
51.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
50.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
50.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
50.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
50.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
50.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
50.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
50.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
50.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
50.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
50.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
50.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
50.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
49.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
49.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
49.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
49.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
49.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
49.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
49.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
49.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
49.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
48.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
48.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
48.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
48.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
48.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
48.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
48.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
48.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
48.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
48.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
48.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
47.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
47.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
47.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
47.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
47.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
47.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
47.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
47.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
47.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
47.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
47.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
47.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
47.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
47.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
47.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
47.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
47.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
46.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
46.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
46.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
46.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
46.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
46.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
46.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
46.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
46.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
46.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
46.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
46.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
46.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
46.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
46.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
46.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
46.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
45.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
45.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
45.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
45.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
45.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
45.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
45.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
45.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
45.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
45.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
45.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
45.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
45.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
45.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
44.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
44.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
44.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
44.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
44.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
44.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
44.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
44.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
44.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
44.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
44.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
44.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
44.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
44.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
44.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
44.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
44.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
44.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
43.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
43.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
43.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
43.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
43.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
43.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
43.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
43.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
43.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
43.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
43.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
43.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
42.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
42.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
42.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
42.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
42.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
42.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
42.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
42.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
42.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
42.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
42.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
42.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
42.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
42.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
42.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
42.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
42.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
41.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
41.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
41.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
41.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
41.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
41.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
41.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
41.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
41.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
41.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
41.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
41.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
41.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
41.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
41.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
41.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
41.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
40.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
40.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
40.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
40.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
40.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
40.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
40.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
40.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
40.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
40.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
40.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
40.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
40.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
40.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
40.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
40.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
40.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
40.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
40.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
40.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
40.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
40.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
40.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
40.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
40.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
39.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
39.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
39.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
39.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
39.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
39.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
39.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
39.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
39.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
39.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
39.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
39.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
38.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
38.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
38.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
38.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
38.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
38.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
38.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
38.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
38.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
38.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
38.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
38.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
38.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
38.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
38.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
38.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
37.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
37.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
37.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
37.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
37.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
37.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
37.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
37.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
37.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
37.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
37.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
37.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
37.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
37.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
37.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
37.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
36.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
36.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
36.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
36.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
36.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
36.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
36.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
36.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
36.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
36.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
36.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
36.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
36.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
35.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
35.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
35.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
35.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
35.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
35.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
35.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
35.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
35.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
35.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
34.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
34.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
34.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
34.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
34.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
34.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
34.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
34.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
34.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
34.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
34.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
34.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
34.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
34.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
34.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
33.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
33.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
33.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
33.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
33.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
33.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
32.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
32.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
32.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
32.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
32.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
31.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
31.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
31.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
31.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
31.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
30.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
30.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
30.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
30.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
30.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
30.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
29.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
28.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
28.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
28.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
28.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
28.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
27.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
27.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
26.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
23.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.1
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.
RANBP2 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
13.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
47.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
31.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
28.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
26.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
26.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
24.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
21.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
20.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
20.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
20.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
19.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
19.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
18.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
18.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
17.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
17.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
17.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
17.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
17.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
16.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
16.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
16.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
16.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
16.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
16.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
15.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
15.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
15.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
15.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
15.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
15.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
15.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
15.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
14.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
14.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
14.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
14.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
14.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
13.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
13.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
13.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
13.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
13.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
13.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
13.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
13.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
13.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
12.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
12.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
12.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
12.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
12.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
12.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
11.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
11.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
11.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
11.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
11.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
11.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
11.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
11.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
11.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
11.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
10.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
10.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
9.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
9.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
9.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
9.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
9.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
9.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
9.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
9.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
9.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
9.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
8.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
7.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
7.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
7.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
7.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
7.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
6.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
6.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
5.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
5.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RANBP2 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
47.6
Number of samples
207
Samples
Sample
Description
TPM
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
124.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
122.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
117.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
107.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
105.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
100.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
94.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
93.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
92.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
87.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
84.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
76.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
75.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
75.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
74.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
74.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
72.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
70.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
70.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
65.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
63.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
63.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
63.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
62.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
62.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
61.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
61.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
60.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
60.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
60.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
60.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
60.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
59.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
58.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
58.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
57.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
57.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
57.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
56.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
56.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
56.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
55.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
55.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
55.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
55.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
55.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
55.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
55.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
54.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
54.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
53.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
53.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
52.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
51.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
51.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
50.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
50.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
50.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
50.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
50.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
49.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
49.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
49.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
49.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
49.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
49.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
48.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
48.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
48.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
48.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
48.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
48.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
48.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
47.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
47.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
46.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
46.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
46.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
46.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
46.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
46.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
46.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
46.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
45.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
45.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
45.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
45.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
45.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
45.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
45.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
45.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
44.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
44.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
44.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
44.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
44.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
44.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
44.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
44.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
44.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
44.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
43.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
43.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
43.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
43.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
43.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
43.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
43.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
43.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
43.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
42.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
42.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
42.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
42.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
42.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
42.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
41.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
41.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
41.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
41.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
41.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
40.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
40.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
40.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
40.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
40.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
40.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
40.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
40.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
40.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
40.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
39.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
39.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
39.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
39.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
39.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
39.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
39.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
39.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
39.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
38.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
38.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
38.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
38.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
38.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
38.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
38.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
38.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
38.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
38.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
38.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
38.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
38.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
37.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
37.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
37.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
37.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
37.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
37.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
37.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
36.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
36.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
36.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
36.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
36.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
36.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
36.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
36.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
36.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
36.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
36.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
35.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
35.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
35.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
35.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
35.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
35.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
35.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
34.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
34.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
34.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
34.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
33.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
33.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
33.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
33.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
32.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
32.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
32.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
32.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
31.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
31.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
31.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
30.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
30.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
29.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
29.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
27.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
27.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
24.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
23.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
23.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
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Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
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Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
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Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
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Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
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
