We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
IPO8 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
20.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
60.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
55.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
50.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
44.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
42.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
40.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
39.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
38.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
37.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
37.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
36.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
35.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
32.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
32.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
31.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
31.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
31.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
30.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
30.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
29.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
29.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
29.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
29.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
28.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
28.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
28.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
28.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
28.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
27.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
27.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
27.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
27.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
26.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
26.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
26.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
26.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
26.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
26.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
25.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
25.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
25.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
25.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
25.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
25.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
24.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
24.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
24.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
24.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
24.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
24.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
24.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
24.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
24.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
24.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
24.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
24.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
23.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
23.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
23.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
23.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
23.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
23.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
23.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
23.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
23.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
23.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
22.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
22.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
22.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
22.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
22.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
22.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
22.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
22.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
22.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
22.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
22.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
21.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
21.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
21.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
21.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
21.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
21.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
21.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
21.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
21.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
21.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
20.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
20.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
20.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
20.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
20.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
20.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
20.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
20.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
20.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
20.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
20.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
20.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
20.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
20.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
20.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
20.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
20.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
20.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
20.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
19.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
19.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
19.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
19.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
19.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
19.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
19.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
19.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
19.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
19.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
19.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
19.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
19.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
19.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
19.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
19.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
19.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
19.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
19.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
19.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
18.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
18.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
18.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
18.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
18.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
18.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
18.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
18.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
18.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
18.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
18.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
18.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
18.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
18.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
18.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
18.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
18.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
18.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
18.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
18.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
18.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
17.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
17.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
17.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
17.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
17.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
17.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
17.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
17.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
17.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
17.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
17.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
17.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
17.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
17.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
17.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
17.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
17.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
17.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
17.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
17.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
17.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
17.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
16.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
16.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
16.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
16.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
16.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
16.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
16.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
16.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
16.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
16.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
16.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
16.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
16.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
16.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
16.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
16.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
16.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
16.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
15.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
15.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
15.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
15.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
15.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
15.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
15.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
15.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
15.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
15.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
15.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
14.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
14.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
14.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
14.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
14.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
14.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
14.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
14.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
14.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
14.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
14.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
14.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
14.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
14.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
14.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
13.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
13.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
13.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
13.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
13.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
13.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
13.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
13.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
13.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
13.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
12.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
12.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
12.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
12.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
12.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
12.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
12.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
12.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
12.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
11.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
11.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
11.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
11.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
11.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
11.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
11.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
11.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
10.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
10.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
10.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
10.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
10.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
10.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
9.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
9.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
8.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
8.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
8.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
8.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
8.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 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.
IPO8 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
37.1
Number of samples
486
Samples
Sample
Description
TPM
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
69.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
68.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
63.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
61.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
61.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
58.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
57.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
57.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
57.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
57.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
57.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
55.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
55.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
55.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
55.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
55.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
54.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
54.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
54.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
53.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
53.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
52.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
52.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
52.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
51.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
51.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
51.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
50.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
50.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
50.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
50.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
50.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
50.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
48.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
48.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
47.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
47.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
47.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
47.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
47.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
47.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
47.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
47.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
47.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
46.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
46.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
46.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
46.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
46.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
46.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
45.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
45.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
45.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
45.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
45.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
45.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
45.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
45.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
45.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
45.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
45.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
45.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
45.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
44.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
44.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
44.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
44.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
44.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
44.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
44.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
44.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
44.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
43.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
43.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
43.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
43.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
43.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
43.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
43.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
43.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
43.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
43.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
43.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
43.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
43.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
43.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
43.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
43.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
43.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
43.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
43.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
43.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
42.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
42.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
42.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
42.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
42.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
42.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
42.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
42.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
42.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
42.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
42.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
42.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
42.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
42.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
42.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
41.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
41.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
41.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
41.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
41.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
41.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
41.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
41.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
41.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
41.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
41.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
41.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
41.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
41.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
41.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
41.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
41.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
41.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
41.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
41.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
41.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
41.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
41.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
41.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
41.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
41.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
41.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
41.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
41.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
40.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
40.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
40.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
40.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
40.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
40.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
40.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
40.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
40.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
40.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
40.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
40.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
40.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
40.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
40.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
40.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
40.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
40.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
40.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
40.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
40.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
40.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
40.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
40.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
40.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
40.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
39.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
39.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
39.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
39.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
39.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
39.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
39.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
39.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
39.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
39.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
39.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
39.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
39.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
39.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
39.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
39.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
39.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
39.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
39.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
39.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
39.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
39.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
38.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
38.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
38.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
38.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
38.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
38.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
38.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
38.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
38.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
38.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
38.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
38.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
38.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
38.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
38.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
38.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
38.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
38.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
38.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
38.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
38.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
38.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
38.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
37.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
37.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
37.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
37.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
37.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
37.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
37.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
37.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
37.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
37.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
37.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
37.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
37.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
37.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
37.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
37.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
37.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
37.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
37.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
37.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
37.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
37.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
37.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
36.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
36.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
36.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
36.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
36.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
36.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
36.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
36.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
36.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
36.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
36.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
36.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
36.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
36.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
36.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
36.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
36.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
36.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
36.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
36.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
36.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
36.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
36.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
36.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
36.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
36.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
36.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
36.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
36.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
36.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
36.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
36.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
36.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
35.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
35.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
35.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
35.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
35.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
35.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
35.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
35.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
35.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
35.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
35.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
35.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
35.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
35.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
35.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
35.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
35.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
35.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
35.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
35.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
35.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
35.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
35.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
35.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
35.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
35.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
35.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
35.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
35.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
35.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
34.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
34.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
34.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
34.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
34.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
34.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
34.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
34.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
34.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
34.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
34.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
34.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
34.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
34.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
34.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
34.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
34.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
34.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
34.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
34.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
34.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
34.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
34.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
34.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
33.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
33.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
33.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
33.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
33.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
33.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
33.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
33.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
33.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
33.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
33.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
33.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
33.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
33.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
33.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
33.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
33.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
33.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
33.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
33.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
33.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
33.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
33.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
33.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
33.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
33.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
33.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
32.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
32.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
32.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
32.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
32.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
32.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
32.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
32.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
32.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
32.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
32.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
32.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
32.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
32.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
32.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
32.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
32.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
32.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
31.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
31.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
31.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
31.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
31.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
31.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
31.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
31.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
31.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
31.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
31.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
31.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
31.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
31.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
31.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
31.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
31.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
31.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
31.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
30.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
30.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
30.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
30.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
30.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
30.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
30.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
30.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
30.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
30.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
30.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
30.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
30.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
30.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
30.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
30.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
29.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
29.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
29.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
29.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
29.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
29.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
29.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
29.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
29.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
29.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
29.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
28.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
28.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
28.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
28.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
28.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
28.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
28.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
28.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
28.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
28.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
28.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
28.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
28.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
28.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
28.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
28.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
28.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
28.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
28.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
28.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
28.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
28.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
28.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
27.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
27.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
27.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
27.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
27.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
27.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
27.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
27.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
27.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
27.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
27.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
27.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
27.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
27.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
27.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
27.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
27.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
27.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
27.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
26.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
26.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
26.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
26.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
26.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
26.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
26.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
26.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
26.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
26.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
25.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
25.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
25.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
25.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
25.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
25.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
25.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
25.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
24.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
24.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
24.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
24.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
23.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
23.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
22.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
21.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
20.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
17.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
14.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IPO8 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
19.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
49.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
48.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
32.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
31.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
31.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
30.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
30.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
29.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
26.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
26.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
25.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
24.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
24.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
23.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
23.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
23.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
23.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
23.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
23.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
23.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
23.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
22.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
22.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
22.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
22.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
22.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
22.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
21.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
21.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
20.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
20.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
20.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
20.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
20.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
20.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
19.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
19.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
19.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
19.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
19.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
19.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
19.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
19.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
18.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
18.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
18.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
18.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
18.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
18.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
18.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
18.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
18.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
17.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
17.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
17.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
17.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
17.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
17.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
17.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
17.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
16.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
16.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
15.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
15.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
15.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
15.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
15.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
15.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
15.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
14.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
14.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
14.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
14.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
14.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
13.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
13.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
12.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
11.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
11.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
10.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
10.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
9.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
7.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
6.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
5.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
5.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IPO8 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
36.4
Number of samples
207
Samples
Sample
Description
TPM
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
104.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
59.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
57.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
55.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
53.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
52.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
52.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
51.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
50.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
49.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
49.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
48.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
48.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
47.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
46.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
46.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
46.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
45.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
45.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
45.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
44.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
44.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
44.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
44.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
43.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
43.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
43.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
43.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
43.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
43.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
42.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
42.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
42.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
42.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
42.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
42.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
42.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
41.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
41.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
41.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
41.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
41.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
41.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
41.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
41.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
40.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
40.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
40.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
40.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
40.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
40.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
40.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
40.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
40.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
39.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
39.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
39.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
39.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
39.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
39.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
39.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
39.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
38.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
38.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
38.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
38.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
38.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
38.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
38.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
38.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
38.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
38.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
38.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
38.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
38.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
38.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
38.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
37.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
37.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
37.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
37.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
37.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
37.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
37.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
37.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
37.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
37.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
37.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
37.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
37.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
37.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
36.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
36.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
36.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
36.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
36.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
36.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
36.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
36.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
36.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
36.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
36.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
35.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
35.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
35.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
35.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
35.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
35.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
35.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
35.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
35.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
35.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
35.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
34.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
34.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
34.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
34.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
33.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
33.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
33.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
33.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
33.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
33.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
33.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
33.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
33.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
33.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
33.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
33.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
33.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
33.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
33.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
33.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
33.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
32.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
32.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
32.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
32.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
32.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
32.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
32.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
32.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
32.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
32.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
32.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
32.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
32.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
32.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
32.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
32.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
32.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
32.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
32.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
32.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
32.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
31.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
31.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
31.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
31.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
31.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
31.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
30.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
30.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
30.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
30.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
30.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
30.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
30.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
30.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
30.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
29.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
29.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
29.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
29.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
29.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
29.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
29.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
29.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
29.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
28.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
28.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
28.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
28.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
28.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
28.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
27.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
27.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
27.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
26.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
26.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
26.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
26.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
26.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
26.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
25.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
25.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
25.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
25.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
25.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
23.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
23.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
23.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
23.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
22.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
21.5
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.9
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.8
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.8
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.9
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-1.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-1.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-1.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-1.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-1.7
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-1.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
